Save the study...
saved  Point = class=Point name=point dimension=2 values=[1000,1000]
loaded Point = class=Point name=point dimension=3 values=[10,11,12]
saved  Point = class=Point name=point dimension=3 values=[10,11,12]
loaded Point = class=Point name=point dimension=3 values=[10,11,12]
saved  PointWithDescription = class=PointWithDescription name=Unnamed dimension=3 description=[x,y,z] values=[10,11,12]
loaded PointWithDescription = class=PointWithDescription name=Unnamed dimension=3 description=[x,y,z] values=[10,11,12]
saved  Matrix = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=3 values=[0,3,1,4,2,5]
loaded Matrix = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=3 values=[0,3,1,4,2,5]
saved  SquareMatrix = class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,2,3,4]
loaded SquareMatrix = class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,2,3,4]
saved  SymmetricMatrix = class=SymmetricMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,3,0,4]
loaded SymmetricMatrix = class=SymmetricMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,3,0,4]
saved  Tensor = class=Tensor implementation=class=TensorImplementation name=tensor1 rows=2 columns=2 sheets=3 values=[1,2,3,4,5,6,7,8,9,10,11,12]
loaded Tensor = class=Tensor implementation=class=TensorImplementation name=tensor1 rows=2 columns=2 sheets=3 values=[1,2,3,4,5,6,7,8,9,10,11,12]
saved  SymmetricTensor = class=SymmetricTensor implementation=class=TensorImplementation name=symtensor1 rows=2 columns=2 sheets=3 values=[1,2,0,3,4,5,0,6,7,8,0,9]
loaded SymmetricTensor = class=SymmetricTensor implementation=class=TensorImplementation name=symtensor1 rows=2 columns=2 sheets=3 values=[1,2,0,3,4,5,0,6,7,8,0,9]
saved  SquareComplexMatrix = class=SquareComplexMatrix dimension=2 implementation=class=ComplexMatrixImplementation name=Unnamed rows=2 columns=2 values=[(1,1),(0,1),(3,1),(5,1)]
loaded SquareComplexMatrix = class=SquareComplexMatrix dimension=2 implementation=class=ComplexMatrixImplementation name=Unnamed rows=2 columns=2 values=[(1,1),(0,1),(3,1),(5,1)]
saved  TriangularComplexMatrix = class=TriangularComplexMatrix dimension=2 implementation=class=ComplexMatrixImplementation name=Unnamed rows=2 columns=2 values=[(1,0),(3,1),(0,0),(4,0)]
loaded TriangularComplexMatrix = class=TriangularComplexMatrix dimension=2 implementation=class=ComplexMatrixImplementation name=Unnamed rows=2 columns=2 values=[(1,0),(3,1),(0,0),(4,0)]
saved  HermitianMatrix = class=HermitianMatrix dimension=2 implementation=class=ComplexMatrixImplementation name=Unnamed rows=2 columns=2 values=[(0,0),(0,0),(0,0),(0,0)]
loaded HermitianMatrix = class=HermitianMatrix dimension=2 implementation=class=ComplexMatrixImplementation name=Unnamed rows=2 columns=2 values=[(0,0),(0,0),(0,0),(0,0)]
saved  Staircase = class=Staircase name=eCDF2, pat=S pattern=S derived from class=DrawableImplementation name=eCDF2, pat=S legend=eCDF2, pat=S data=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 data=[[-13.5,0.002],[-12.3,0.004],[-11.1,0.009],[-9.9,0.0205],[-8.7,0.039],[-7.5,0.0665],[-6.3,0.1215],[-5.1,0.1915],[-3.9,0.285],[-2.7,0.39],[-1.5,0.4985],[-0.3,0.6095],[0.9,0.7095],[2.1,0.814],[3.3,0.881],[4.5,0.9365],[5.7,0.9675],[6.9,0.985],[8.1,0.9915],[9.3,0.9965]] color=red fillStyle=solid lineStyle=dashed pointStyle=plus lineWidth=1
loaded Staircase = class=Staircase name=eCDF2, pat=S pattern=S derived from class=DrawableImplementation name=eCDF2, pat=S legend=eCDF2, pat=S data=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=20 dimension=2 data=[[-13.5,0.002],[-12.3,0.004],[-11.1,0.009],[-9.9,0.0205],[-8.7,0.039],[-7.5,0.0665],[-6.3,0.1215],[-5.1,0.1915],[-3.9,0.285],[-2.7,0.39],[-1.5,0.4985],[-0.3,0.6095],[0.9,0.7095],[2.1,0.814],[3.3,0.881],[4.5,0.9365],[5.7,0.9675],[6.9,0.985],[8.1,0.9915],[9.3,0.9965]] color=red fillStyle=solid lineStyle=dashed pointStyle=plus lineWidth=1
saved  Sample = class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=3 dimension=2 data=[[100,200],[101,201],[102,202]]
loaded Sample = class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=3 dimension=2 data=[[100,200],[101,201],[102,202]]
saved  RandomGeneratorState = RandomGeneratorState(buffer=[1890737188,1073353721,1590283140,1073618936,2297104061,1072835095,2597797607,1072727329,2937961684,1073057163,3065789070,1073709761,2256077441,1073658650,3564162236,1073220723,1610122029,1072759524,3661968236,1073000225,3510470221,1073442331,718282459,1073095232,2662413988,1073085171,2544014140,1073466329,2206071736,1073619668,3065856244,1073002571,2967741035,1073666861,2052071287,1073553930,3427127794,1073411076,2051962679,1073561497,3969065265,1073070527,3679785981,1073694371,128801527,1073310456,3503793218,1072884129,268772075,1072783200,3348386174,1073386070,2014236806,1072913912,555546619,1073098238,2011487224,1072719000,630016907,1073132516,3349003319,1073722782,80421448,1073653882,1859412796,1073695270,295866472,1073189172,70079837,1072965732,70477955,1073386713,3530593831,1073206813,1579224232,1073184531,2113224206,1072809721,318776053,1073055341,3269002993,1073381089,1822731361,1073401129,155705917,1073719783,2621975809,1073370978,1927848312,1072760579,3336074386,1073503817,2558944891,1073735741,3317965269,1072780356,1342854847,1072929038,1821498585,1073010567,264853472,1072921010,1078583985,1073353499,3388430205,1073301582,513947381,1073183025,3057843613,1073423050,657284973,1073470347,3422045664,1073675573,2118351037,1073607027,1024508187,1073105527,2266768141,1073353062,3960969464,1073651152,1643289418,1073651018,574708353,1072860376,3263398707,1073264132,1306430447,1072906793,1129644556,1073590614,3064192051,1073149460,2839812396,1073072480,4272638491,1072695457,1365530707,1072944312,3432166056,1072960798,2622857553,1073313516,1661163016,1072870684,1965792142,1073718057,1338131061,1073199701,4154231727,1073437010,1001715446,1073697725,2117057298,1073430415,2036628273,1073553267,3323405507,1073198536,545515120,1072909850,439519564,1073480932,2358049172,1073663737,3783586707,1073360061,2947758363,1073324660,1265973140,1073428829,2498489974,1072776520,954937024,1072957838,2187386820,1073403108,3189979293,1073069112,1669992795,1073133785,3717156109,1073030212,796454452,1073530641,3284256525,1073296768,3433531503,1073037934,484020502,1073712131,3625560580,1073236019,3757124903,1072806305,2463458990,1073645133,954281281,1073479412,1861076104,1073218906,2401068099,1073232637,892395097,1073649256,3637830876,1073448342,2079555611,1073308763,2254212394,1073557921,1095880965,1073439992,2733117083,1072849173,2535978261,1073557334,2517735963,1073280304,631174501,1073378394,1831607011,1072714163,3575835786,1073450903,1596019424,1073473915,983801082,1072993075,2911964491,1073592666,128874615,1073243421,2657103436,1073695530,1235138404,1072951561,1609929604,1072930395,2816592934,1073696169,3161789173,1073326027,1081032139,1073207321,2295362066,1073153679,2469846436,1072829984,1571124320,1073665630,1744574591,1072799682,4239758944,1073034843,2173140260,1073113142,1920925868,1073118614,3883812207,1073111601,72476458,1073630809,734738916,1072815100,1412951256,1072919348,4168783586,1072821724,1646049347,1072847729,1309086505,1073058582,2193856426,1073243283,231319820,1072842560,4148992360,1072999919,1611019088,1073249320,3366616615,1073445042,3662038791,1072950753,1616762589,1073299230,701952342,1073621058,3068631378,1073001816,2195771627,1073563871,4099365294,1073415496,196326096,1072756735,970501878,1073534641,2787176770,1073061502,98563788,1073522272,74003588,1073210537,3620174911,1073023002,1860013769,1073454271,1812320306,1072703000,3021039054,1073277873,3125026173,1073660314,828536771,1073055792,609518019,1073495493,1661909956,1073339320,1668425205,1072880999,2209618016,1073090340,1162450271,1072776177,4182590788,1073285351,730293221,1072942785,2723117139,1073397039,750084791,1073383256,2830387601,1073157639,1059186648,1073474199,220746646,1073587917,2353530561,1072946167,3922659499,1072731357,1920029493,1073170071,4244615948,1073547834,1850015709,1073677891,1870802260,1073583369,2970380973,1073157074,2161518767,1073029764,809972376,1072957132,2252946544,1073264736,4012356192,1072699573,2522853983,1073595164,1776375492,1073061899,761012489,1073504002,3517909283,1073330875,4010799110,1073197912,2148045415,1073534830,2210430992,1073348907,1508237144,1073464461,173634216,1073325059,2564764239,1073201726,1926987695,1072846067,2610351516,1072988291,3212415504,1072935110,4212975750,1073561063,1632696600,1073102326,1672585072,1072955186,3499542950,1072941787,4155693124,1073487842,2123030827,1072828529,3620546496,1073662590,2173720898,1073242931,3449272499,1073726401,3694870513,1073730032,1534566768,1073018658,2353575862,1072935851,2704379496,1073159582,3975451328,1072886039,2921816484,1072701763,3348825575,1072919822,1603573900,1073320598,2026311488,1073373526,3801692642,1073591015,2344337092,1072780456,3990407304,1073169149,1259304547,1073222988,3163433159,1072714671,771973281,1072874756,1837803549,1072887393,2559694029,1073580119,3572335211,1073220454,826441374,1072978077,1308554372,1073365674,3598558187,1073284353,4235806020,1072751221,4292641945,1073533272,1568269288,1072846337,2705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index=0)
loaded RandomGeneratorState = RandomGeneratorState(buffer=[1890737188,1073353721,1590283140,1073618936,2297104061,1072835095,2597797607,1072727329,2937961684,1073057163,3065789070,1073709761,2256077441,1073658650,3564162236,1073220723,1610122029,1072759524,3661968236,1073000225,3510470221,1073442331,718282459,1073095232,2662413988,1073085171,2544014140,1073466329,2206071736,1073619668,3065856244,1073002571,2967741035,1073666861,2052071287,1073553930,3427127794,1073411076,2051962679,1073561497,3969065265,1073070527,3679785981,1073694371,128801527,1073310456,3503793218,1072884129,268772075,1072783200,3348386174,1073386070,2014236806,1072913912,555546619,1073098238,2011487224,1072719000,630016907,1073132516,3349003319,1073722782,80421448,1073653882,1859412796,1073695270,295866472,1073189172,70079837,1072965732,70477955,1073386713,3530593831,1073206813,1579224232,1073184531,2113224206,1072809721,318776053,1073055341,3269002993,1073381089,1822731361,1073401129,155705917,1073719783,2621975809,1073370978,1927848312,1072760579,3336074386,1073503817,2558944891,1073735741,3317965269,1072780356,1342854847,1072929038,1821498585,1073010567,264853472,1072921010,1078583985,1073353499,3388430205,1073301582,513947381,1073183025,3057843613,1073423050,657284973,1073470347,3422045664,1073675573,2118351037,1073607027,1024508187,1073105527,2266768141,1073353062,3960969464,1073651152,1643289418,1073651018,574708353,1072860376,3263398707,1073264132,1306430447,1072906793,1129644556,1073590614,3064192051,1073149460,2839812396,1073072480,4272638491,1072695457,1365530707,1072944312,3432166056,1072960798,2622857553,1073313516,1661163016,1072870684,1965792142,1073718057,1338131061,1073199701,4154231727,1073437010,1001715446,1073697725,2117057298,1073430415,2036628273,1073553267,3323405507,1073198536,545515120,1072909850,439519564,1073480932,2358049172,1073663737,3783586707,1073360061,2947758363,1073324660,1265973140,1073428829,2498489974,1072776520,954937024,1072957838,2187386820,1073403108,3189979293,1073069112,1669992795,1073133785,3717156109,1073030212,796454452,1073530641,3284256525,1073296768,3433531503,1073037934,484020502,1073712131,3625560580,1073236019,3757124903,1072806305,2463458990,1073645133,954281281,1073479412,1861076104,1073218906,2401068099,1073232637,892395097,1073649256,3637830876,1073448342,2079555611,1073308763,2254212394,1073557921,1095880965,1073439992,2733117083,1072849173,2535978261,1073557334,2517735963,1073280304,631174501,1073378394,1831607011,1072714163,3575835786,1073450903,1596019424,1073473915,983801082,1072993075,2911964491,1073592666,128874615,1073243421,2657103436,1073695530,1235138404,1072951561,1609929604,1072930395,2816592934,1073696169,3161789173,1073326027,1081032139,1073207321,2295362066,1073153679,2469846436,1072829984,1571124320,1073665630,1744574591,1072799682,4239758944,1073034843,2173140260,1073113142,1920925868,1073118614,3883812207,1073111601,72476458,1073630809,734738916,1072815100,1412951256,1072919348,4168783586,1072821724,1646049347,1072847729,1309086505,1073058582,2193856426,1073243283,231319820,1072842560,4148992360,1072999919,1611019088,1073249320,3366616615,1073445042,3662038791,1072950753,1616762589,1073299230,701952342,1073621058,3068631378,1073001816,2195771627,1073563871,4099365294,1073415496,196326096,1072756735,970501878,1073534641,2787176770,1073061502,98563788,1073522272,74003588,1073210537,3620174911,1073023002,1860013769,1073454271,1812320306,1072703000,3021039054,1073277873,3125026173,1073660314,828536771,1073055792,609518019,1073495493,1661909956,1073339320,1668425205,1072880999,2209618016,1073090340,1162450271,1072776177,4182590788,1073285351,730293221,1072942785,2723117139,1073397039,750084791,1073383256,2830387601,1073157639,1059186648,1073474199,220746646,1073587917,2353530561,1072946167,3922659499,1072731357,1920029493,1073170071,4244615948,1073547834,1850015709,1073677891,1870802260,1073583369,2970380973,1073157074,2161518767,1073029764,809972376,1072957132,2252946544,1073264736,4012356192,1072699573,2522853983,1073595164,1776375492,1073061899,761012489,1073504002,3517909283,1073330875,4010799110,1073197912,2148045415,1073534830,2210430992,1073348907,1508237144,1073464461,173634216,1073325059,2564764239,1073201726,1926987695,1072846067,2610351516,1072988291,3212415504,1072935110,4212975750,1073561063,1632696600,1073102326,1672585072,1072955186,3499542950,1072941787,4155693124,1073487842,2123030827,1072828529,3620546496,1073662590,2173720898,1073242931,3449272499,1073726401,3694870513,1073730032,1534566768,1073018658,2353575862,1072935851,2704379496,1073159582,3975451328,1072886039,2921816484,1072701763,3348825575,1072919822,1603573900,1073320598,2026311488,1073373526,3801692642,1073591015,2344337092,1072780456,3990407304,1073169149,1259304547,1073222988,3163433159,1072714671,771973281,1072874756,1837803549,1072887393,2559694029,1073580119,3572335211,1073220454,826441374,1072978077,1308554372,1073365674,3598558187,1073284353,4235806020,1072751221,4292641945,1073533272,1568269288,1072846337,2705261378,1073511528,2250280684,1073328002,666316820,1073096056,2983347578,1073177843,2203402738,1072825551,1437904140,1072841314,1166397664,1073497185,2374443701,1072902431,1210896726,1073068818,2614270572,1073438466,1359347168,1073729356,2865180584,1073557977,3439311161,1072982841,3651614549,1073492607,2323842989,1073054612,888312499,1073461923,1690588,1073384716,3557355698,1073456962,1875235826,1073437457,4023395779,1072805725,2095214301,1072715612,2627579008,1072751815,4172478542,1073148130,997251113,1073679719,147663499,1073338250,2798470660,1073003608,1486957908,1073608644,3831751773,1072890104,3647664156,1073632065,2672983984,1073406245,596225943,1073672650,2803798684,1073069083,987440599,1072900097,265746779,1073729125,2710593339,1073435213,843041260,1073261599,537760487,1073071310,1355615652,1073638572,1650582064,1073608442,3433246482,1073029224,1626573923,1073738025,4067700234,1073020201,37082869,1072924618,2874522308,1073060093,4044051822,1073688645,4098553756,1072743296,3031111805,1072776224,4195959468,1072756886,3177294151,1072743125,1083186096,1073107511,1698665719,1073606976,1130196376,1072701384,2341458683,1073703363,2235791467,1072850973,894367578,1073498850,1316199924,1073238528,4293672883,1073047079,1336794804,1073552827,2125403925,1073121870,3671377193,1072706028,177256501,1073221362,3977472339,1073001678,1902159692,1072934144,1859737948,1073577070,3647856985,1073350011,1572562071,1072815970,4026802472,1072697694,550731272,1072793812,4161792649,1073127694,1695287479,1072946669,2606795676,1073425486,2679756001,1073525076,734464784,1073023893,1494575934,1073219078,3926856252,1073671702,1544694344,1073711624,1449200151,1072918900,2977290261,1073075270,594012026,1073441877,4116560245,1073362272,2165186213,1073601358,929233982,1073198907,260907278,1072765928,3534839526,1073210050,1911061793,1072785643,821107272,1073249458,1460412131,1073646105,2975675436,1073124664,612130006,1072854880,540108154,1073163572,2674886945,1072902469,3564824478,1073246504,3155639637,1073210517,3119882177,1072998679,338002372,1073071049,2873848423,1073329628,127904902,1073275928,3608826199,1073272089,4187153180,1073322729,3297601273,1073640905,1018868165,1072922083,1805443876,1073253924,4293168844,1072947502,2640792626,1073137011,969673456,1072840042,396126515,1073570548,255789181,1073694662,2486681799,1073530605,2817893679,1073487349,1487157741,1073339542,1896383174,1073700597,115768796,1072744943,3628756266,1073544785,704877892,1073156789,774677333,1073252528,2723018129,1072821314,2879470297,1073454638,828560609,1073677099,1923681570,1072799581,1872567119,1073627172,811678637,1073255916,3879187146,1073001042,2120283879,1073599299,3133047086,1073351598,2327443823,1072899810,397657556,1072910826,3094752120,1073738407,4061114503,1072694751,4096421460,1073021696,3053100338,1072714198,348936412,1072747253,3738288559,1072902973,1413993209,1072723334,2403601698,1073282574,1218530455,1073395965,749107289,1073280203,3347652542,1073314946,3050642155,1073333974,593598364,1073179471,1235246650,1073078808,3933306805,1073630656,721268809,1073650730,2506656982,1072820855,3552260260,1072798450,1507599986,1072861189,903705278,1073472358,2173196567,1072848163,2286506124,1073400193,2864658807,1072945133,2143581820,1073282021,3141578166,1073210173,1806190664,1073342267,699502963,1073310106,3941107913,1073486583,1743639782,1072776463,2979426022,1072887923], index=0)
saved  Function = class=SymbolicFunction name=analytical implementation=class=FunctionImplementation name=analytical description=[a,b,c,y0,y1,y2] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0,y1,y2] formulas=[a+b+c,a-b*c,(a+2*b^2+3*c^3)/6] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0,y1,y2] formulas=[a+b+c,a-b*c,(a+2*b^2+3*c^3)/6] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0,y1,y2] formulas=[a+b+c,a-b*c,(a+2*b^2+3*c^3)/6]
loaded Function = class=Function name=analytical implementation=class=FunctionImplementation name=analytical description=[a,b,c,y0,y1,y2] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0,y1,y2] formulas=[a+b+c,a-b*c,(a+2*b^2+3*c^3)/6] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0,y1,y2] formulas=[a+b+c,a-b*c,(a+2*b^2+3*c^3)/6] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0,y1,y2] formulas=[a+b+c,a-b*c,(a+2*b^2+3*c^3)/6]
saved  AbdoRackwitz = class=AbdoRackwitz class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoEvaluation name=Unnamed gradientImplementation=class=NoGradient name=Unnamed hessianImplementation=class=NoHessian name=Unnamed equality constraint=none inequality constraint=none bounds=none minimization=true dimension=0 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-10 maximumRelativeError=1e-10 maximumResidualError=1e-10 maximumConstraintError=1e-10 verbose=false tau=0.5 omega=0.0001 smooth=1.2
loaded AbdoRackwitz = class=AbdoRackwitz class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoEvaluation name=Unnamed gradientImplementation=class=NoGradient name=Unnamed hessianImplementation=class=NoHessian name=Unnamed equality constraint=none inequality constraint=none bounds=none minimization=true dimension=0 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-10 maximumRelativeError=1e-10 maximumResidualError=1e-10 maximumConstraintError=1e-10 verbose=false tau=0.5 omega=0.0001 smooth=1.2
saved  SQP = class=SQP class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoEvaluation name=Unnamed gradientImplementation=class=NoGradient name=Unnamed hessianImplementation=class=NoHessian name=Unnamed equality constraint=none inequality constraint=none bounds=none minimization=true dimension=0 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-10 maximumRelativeError=1e-10 maximumResidualError=1e-10 maximumConstraintError=1e-10 verbose=false tau=0.5 omega=0.0001 smooth=1.2
loaded SQP = class=SQP class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoEvaluation name=Unnamed gradientImplementation=class=NoGradient name=Unnamed hessianImplementation=class=NoHessian name=Unnamed equality constraint=none inequality constraint=none bounds=none minimization=true dimension=0 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-10 maximumRelativeError=1e-10 maximumResidualError=1e-10 maximumConstraintError=1e-10 verbose=false tau=0.5 omega=0.0001 smooth=1.2
saved  Cobyla = class=Cobyla class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoEvaluation name=Unnamed gradientImplementation=class=NoGradient name=Unnamed hessianImplementation=class=NoHessian name=Unnamed equality constraint=none inequality constraint=none bounds=none minimization=true dimension=0 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-10 maximumRelativeError=1e-10 maximumResidualError=1e-10 maximumConstraintError=1e-10 verbose=false rhoBeg=0.1
loaded Cobyla = class=Cobyla class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoEvaluation name=Unnamed gradientImplementation=class=NoGradient name=Unnamed hessianImplementation=class=NoHessian name=Unnamed equality constraint=none inequality constraint=none bounds=none minimization=true dimension=0 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false rhoBeg=0.1
saved  OptimizationAlgorithm = class=OptimizationAlgorithm implementation=class=TNC class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=complex implementation=class=FunctionImplementation name=complex description=[x,y,z,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y,z] outputVariablesNames=[y0] formulas=[(x+2*y^2+3*z^3)/6] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y,z] outputVariablesNames=[y0] formulas=[(x+2*y^2+3*z^3)/6] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y,z] outputVariablesNames=[y0] formulas=[(x+2*y^2+3*z^3)/6] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=3 lower bound=class=Point name=Unnamed dimension=3 values=[-3,-3,-3] upper bound=class=Point name=Unnamed dimension=3 values=[5,5,5] finite lower bound=[1,1,1] finite upper bound=[1,1,1] minimization=true dimension=3 startingPoint=class=Point name=Unnamed dimension=3 values=[1,1,1] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false scale=class=Point name=Unnamed dimension=0 values=[] offset=class=Point name=Unnamed dimension=0 values=[] maxCGit=50 eta=0.25 stepmx=10 accuracy=0.0001 fmin=1 rescale=1.3
loaded OptimizationAlgorithm = class=OptimizationAlgorithm implementation=class=TNC class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=complex implementation=class=FunctionImplementation name=complex description=[x,y,z,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y,z] outputVariablesNames=[y0] formulas=[(x+2*y^2+3*z^3)/6] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y,z] outputVariablesNames=[y0] formulas=[(x+2*y^2+3*z^3)/6] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y,z] outputVariablesNames=[y0] formulas=[(x+2*y^2+3*z^3)/6] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=3 lower bound=class=Point name=Unnamed dimension=3 values=[-3,-3,-3] upper bound=class=Point name=Unnamed dimension=3 values=[5,5,5] finite lower bound=[1,1,1] finite upper bound=[1,1,1] minimization=true dimension=3 startingPoint=class=Point name=Unnamed dimension=3 values=[1,1,1] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false scale=class=Point name=Unnamed dimension=0 values=[] offset=class=Point name=Unnamed dimension=0 values=[] maxCGit=50 eta=0.25 stepmx=10 accuracy=0.0001 fmin=1 rescale=1.3
saved  Event = class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] antecedent=class=ConstantRandomVector description=[x0,x1,x2] point=class=Point name=Unnamed dimension=3 values=[101,202,303] operator=class=Less name=Unnamed threshold=50
loaded Event = class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] antecedent=class=ConstantRandomVector description=[x0,x1,x2] point=class=Point name=Unnamed dimension=3 values=[101,202,303] operator=class=Less name=Unnamed threshold=50
saved  StandardEvent = class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[X0,X1,X2,y0] left function=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] right function=class=FunctionImplementation name=Unnamed description=[X0,X1,X2,X0,X1,X2] evaluationImplementation=class=InverseRosenblattEvaluation description=[X0,X1,X2,X0,X1,X2] distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=3 values=[1e-05,1e-05,1e-05] evaluation=class=InverseRosenblattEvaluation description=[X0,X1,X2,X0,X1,X2] distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=3 values=[0.0001,0.0001,0.0001] evaluation=class=InverseRosenblattEvaluation description=[X0,X1,X2,X0,X1,X2] distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[0,0,0] sigma=class=Point name=Unnamed dimension=3 values=[1,1,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0,0,0,1,0,0,0,1] operator=class=Less name=Unnamed threshold=50
loaded StandardEvent = class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[X0,X1,X2,y0] left function=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] right function=class=FunctionImplementation name=Unnamed description=[X0,X1,X2,X0,X1,X2] evaluationImplementation=class=InverseRosenblattEvaluation description=[X0,X1,X2,X0,X1,X2] distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=3 values=[1e-05,1e-05,1e-05] evaluation=class=InverseRosenblattEvaluation description=[X0,X1,X2,X0,X1,X2] distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=3 values=[0.0001,0.0001,0.0001] evaluation=class=InverseRosenblattEvaluation description=[X0,X1,X2,X0,X1,X2] distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[0,0,0] sigma=class=Point name=Unnamed dimension=3 values=[1,1,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0,0,0,1,0,0,0,1] operator=class=Less name=Unnamed threshold=50
saved  Arcsine = class=Arcsine name=Arcsine dimension=1 a=5.2 b=11.6
loaded Arcsine = class=Arcsine name=Arcsine dimension=1 a=5.2 b=11.6
saved  Beta = class=Beta name=Beta dimension=1 r=3 t=5 a=-1 b=4
loaded Beta = class=Beta name=Beta dimension=1 r=3 t=5 a=-1 b=4
saved  Burr = class=Burr name=Burr dimension=1 c=1.5 k=4.5
loaded Burr = class=Burr name=Burr dimension=1 c=1.5 k=4.5
saved  Chi = class=Chi name=Chi dimension=1 nu=1.5
loaded Chi = class=Chi name=Chi dimension=1 nu=1.5
saved  ChiSquare = class=ChiSquare name=ChiSquare dimension=1 nu=1.5
loaded ChiSquare = class=ChiSquare name=ChiSquare dimension=1 nu=1.5
saved  Dirichlet = class=Dirichlet name=Dirichlet dimension=2 theta=class=Point name=Unnamed dimension=3 values=[1.25,1.5,1.75]
loaded Dirichlet = class=Dirichlet name=Dirichlet dimension=2 theta=class=Point name=Unnamed dimension=3 values=[1.25,1.5,1.75]
saved  ComposedDistribution = class=ComposedDistribution name=ComposedDistribution dimension=3 copula=class=NormalCopula name=NormalCopula dimension=3 correlation=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1] marginal[0]=class=Beta name=Beta dimension=1 r=3 t=5 a=-1 b=4 marginal[1]=class=Gamma name=Gamma dimension=1 k=1.5 lambda=3 gamma=-2 marginal[2]=class=Logistic name=Logistic dimension=1 alpha=0.5 beta=1.5
loaded ComposedDistribution = class=ComposedDistribution name=ComposedDistribution dimension=3 copula=class=NormalCopula name=NormalCopula dimension=3 correlation=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1] marginal[0]=class=Beta name=Beta dimension=1 r=3 t=5 a=-1 b=4 marginal[1]=class=Gamma name=Gamma dimension=1 k=1.5 lambda=3 gamma=-2 marginal[2]=class=Logistic name=Logistic dimension=1 alpha=0.5 beta=1.5
saved  Exponential = class=Exponential name=Exponential dimension=1 lambda=3 gamma=-2
loaded Exponential = class=Exponential name=Exponential dimension=1 lambda=3 gamma=-2
saved  FisherSnedecor = class=FisherSnedecor name=FisherSnedecor dimension=1 d1=5.5 d2=10.5
loaded FisherSnedecor = class=FisherSnedecor name=FisherSnedecor dimension=1 d1=5.5 d2=10.5
saved  Gamma = class=Gamma name=Gamma dimension=1 k=1.5 lambda=3 gamma=-2
loaded Gamma = class=Gamma name=Gamma dimension=1 k=1.5 lambda=3 gamma=-2
saved  GeneralizedPareto = class=GeneralizedPareto name=GeneralizedPareto dimension=1 sigma=1.5 xi=-0.2
loaded GeneralizedPareto = class=GeneralizedPareto name=GeneralizedPareto dimension=1 sigma=1.5 xi=-0.2
saved  Geometric = class=Geometric name=Geometric dimension=1 p=0.15
loaded Geometric = class=Geometric name=Geometric dimension=1 p=0.15
saved  Gumbel = class=Gumbel name=Gumbel dimension=1 alpha=2 beta=-0.5
loaded Gumbel = class=Gumbel name=Gumbel dimension=1 alpha=2 beta=-0.5
saved  IndependentCopula = class=IndependentCopula name=IndependentCopula dimension=5
loaded IndependentCopula = class=IndependentCopula name=IndependentCopula dimension=5
saved  InverseNormal = class=InverseNormal name=InverseNormal dimension=1 lambda=0.5 mu=2
loaded InverseNormal = class=InverseNormal name=InverseNormal dimension=1 lambda=0.5 mu=2
saved  KernelSmoothing = class=KernelSmoothing
loaded KernelSmoothing = class=KernelSmoothing
saved  Laplace = class=Laplace name=Laplace dimension=1 lambda=0.666667 mu=0.5
loaded Laplace = class=Laplace name=Laplace dimension=1 lambda=0.666667 mu=0.5
saved  Logistic = class=Logistic name=Logistic dimension=1 alpha=0.5 beta=1.5
loaded Logistic = class=Logistic name=Logistic dimension=1 alpha=0.5 beta=1.5
saved  LogNormal = class=LogNormal name=LogNormal dimension=1 muLog=0.5 sigmaLog=1.5 gamma=-1
loaded LogNormal = class=LogNormal name=LogNormal dimension=1 muLog=0.5 sigmaLog=1.5 gamma=-1
saved  LogUniform = class=LogUniform name=LogUniform dimension=1 aLog=-0.5 bLog=1.5 a=0.606531 b=4.48169
loaded LogUniform = class=LogUniform name=LogUniform dimension=1 aLog=-0.5 bLog=1.5 a=0.606531 b=4.48169
saved  MeixnerDistribution = class=MeixnerDistribution name=MeixnerDistribution dimension=1 alpha=1.5 beta=0.5 delta=2.5 mu=-0.5 logNormalizationFactor=-2.11357 b=0.492762 c=-0.56861 dc=1.37171
loaded MeixnerDistribution = class=MeixnerDistribution name=MeixnerDistribution dimension=1 alpha=1.5 beta=0.5 delta=2.5 mu=-0.5 logNormalizationFactor=-2.11357 b=0.492762 c=-0.56861 dc=1.37171
saved  Mixture = class=Mixture name=Mixture dimension=3 distributionCollection=[class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[0.5,-0.5,1] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1],class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[1.5,0.5,2] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1],class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[2.5,1.5,3] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1]] weightsDistribution=class=UserDefined name=UserDefined dimension=1 points=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=3 dimension=1 data=[[0],[1],[2]] probabilities=class=Point name=Unnamed dimension=3 values=[0.333333,0.333333,0.333333]
loaded Mixture = class=Mixture name=Mixture dimension=3 distributionCollection=[class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[0.5,-0.5,1] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1],class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[1.5,0.5,2] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1],class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[2.5,1.5,3] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1]] weightsDistribution=class=UserDefined name=UserDefined dimension=1 points=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=3 dimension=1 data=[[0],[1],[2]] probabilities=class=Point name=Unnamed dimension=3 values=[0.333333,0.333333,0.333333]
saved  NormalCopula = class=NormalCopula name=NormalCopula dimension=3 correlation=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1]
loaded NormalCopula = class=NormalCopula name=NormalCopula dimension=3 correlation=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1]
saved  Rayleigh = class=Rayleigh name=Rayleigh dimension=1 sigma=2.5 gamma=-0.5
loaded Rayleigh = class=Rayleigh name=Rayleigh dimension=1 sigma=2.5 gamma=-0.5
saved  Rice = class=Rice name=Rice dimension=1 sigma=5 nu=4
loaded Rice = class=Rice name=Rice dimension=1 sigma=5 nu=4
saved  Student = class=Student name=Student dimension=1 nu=5 mean=class=Point name=Unnamed dimension=1 values=[-0.5] sigma=class=Point name=Unnamed dimension=1 values=[2] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
loaded Student = class=Student name=Student dimension=1 nu=5 mean=class=Point name=Unnamed dimension=1 values=[-0.5] sigma=class=Point name=Unnamed dimension=1 values=[2] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
saved  Trapezoidal = class=Trapezoidal name=Trapezoidal dimension=1 a=1 b=1.2 c=3 d=14 h=0.135135
loaded Trapezoidal = class=Trapezoidal name=Trapezoidal dimension=1 a=1 b=1.2 c=3 d=14 h=0.135135
saved  Triangular = class=Triangular name=Triangular dimension=1 a=-0.5 m=1.5 b=2.5
loaded Triangular = class=Triangular name=Triangular dimension=1 a=-0.5 m=1.5 b=2.5
saved  TruncatedDistribution = class=TruncatedDistribution name=TruncatedDistribution distribution=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[2] sigma=class=Point name=Unnamed dimension=1 values=[1.5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] lowerBound=1 finiteLowerBound=true upperBound=4 finiteUpperBound=true thresholdRealization=0.5
loaded TruncatedDistribution = class=TruncatedDistribution name=TruncatedDistribution distribution=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[2] sigma=class=Point name=Unnamed dimension=1 values=[1.5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] lowerBound=1 finiteLowerBound=true upperBound=4 finiteUpperBound=true thresholdRealization=0.5
saved  TruncatedNormal = class=TruncatedNormal name=TruncatedNormal dimension=1 mu=0.5 sigma=3 a=-2 b=2
loaded TruncatedNormal = class=TruncatedNormal name=TruncatedNormal dimension=1 mu=0.5 sigma=3 a=-2 b=2
saved  Uniform = class=Uniform name=Uniform dimension=1 a=-1.5 b=2
loaded Uniform = class=Uniform name=Uniform dimension=1 a=-1.5 b=2
saved  UserDefined = class=UserDefined name=UserDefined dimension=1 points=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=3 dimension=1 data=[[1],[2],[3]] probabilities=class=Point name=Unnamed dimension=3 values=[0.3,0.1,0.6]
loaded UserDefined = class=UserDefined name=UserDefined dimension=1 points=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=3 dimension=1 data=[[1],[2],[3]] probabilities=class=Point name=Unnamed dimension=3 values=[0.3,0.1,0.6]
saved  Weibull = class=Weibull name=Weibull dimension=1 alpha=2 beta=1.5 gamma=-0.5
loaded Weibull = class=Weibull name=Weibull dimension=1 alpha=2 beta=1.5 gamma=-0.5
saved  ProbabilitySimulationAlgorithm = class=ProbabilitySimulationAlgorithm experiment=class=MonteCarloExperiment name=Unnamed distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] size=4 derived from class=Simulation event=class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] antecedent=class=ConstantRandomVector description=[x0,x1,x2] point=class=Point name=Unnamed dimension=3 values=[101,202,303] operator=class=Less name=Unnamed threshold=50 maximumOuterSampling=250 maximumCoefficientOfVariation=0.1 maximumStandardDeviation=0 blockSize=4
loaded ProbabilitySimulationAlgorithm = class=ProbabilitySimulationAlgorithm experiment=class=MonteCarloExperiment name=Unnamed distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] size=4 derived from class=Simulation event=class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] antecedent=class=ConstantRandomVector description=[x0,x1,x2] point=class=Point name=Unnamed dimension=3 values=[101,202,303] operator=class=Less name=Unnamed threshold=50 maximumOuterSampling=250 maximumCoefficientOfVariation=0.1 maximumStandardDeviation=0 blockSize=4
saved  LHS = class=LHS derived from class=Simulation event=class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] antecedent=class=ConstantRandomVector description=[x0,x1,x2] point=class=Point name=Unnamed dimension=3 values=[101,202,303] operator=class=Less name=Unnamed threshold=50 maximumOuterSampling=250 maximumCoefficientOfVariation=0.1 maximumStandardDeviation=0 blockSize=4
loaded LHS = class=LHS derived from class=Simulation event=class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] antecedent=class=ConstantRandomVector description=[x0,x1,x2] point=class=Point name=Unnamed dimension=3 values=[101,202,303] operator=class=Less name=Unnamed threshold=50 maximumOuterSampling=250 maximumCoefficientOfVariation=0.1 maximumStandardDeviation=0 blockSize=4
saved  SimulationResult = probabilityEstimate=5.000000e-01 varianceEstimate=1.000000e-02 standard deviation=1.00e-01 coefficient of variation=2.00e-01 confidenceLength(0.95)=3.92e-01 outerSampling=150 blockSize=4
loaded SimulationResult = probabilityEstimate=5.000000e-01 varianceEstimate=1.000000e-02 standard deviation=1.00e-01 coefficient of variation=2.00e-01 confidenceLength(0.95)=3.92e-01 outerSampling=150 blockSize=4
saved  SORM = class=SORM class=Analytical nearestPointAlgorithm=class=OptimizationAlgorithm implementation=class=AbdoRackwitz class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation level function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] level value=50 bounds=none minimization=true dimension=3 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-10 maximumRelativeError=1e-10 maximumResidualError=1e-10 maximumConstraintError=1e-10 verbose=false tau=0.5 omega=0.0001 smooth=1.2 event=class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] antecedent=class=ConstantRandomVector description=[x0,x1,x2] point=class=Point name=Unnamed dimension=3 values=[101,202,303] operator=class=Less name=Unnamed threshold=50 physicalstartingPoint=class=Point name=Unnamed dimension=3 values=[4,4,4] result=class=SORMResult class=AnalyticalResult standardSpaceDesignPoint=class=Point name=Unnamed dimension=0 values=[] physicalSpaceDesignPoint=class=Point name=Unnamed dimension=0 values=[] limitStateVariable=class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[] outputVariablesNames=[] formulas=[] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[] outputVariablesNames=[] formulas=[] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[] outputVariablesNames=[] formulas=[] antecedent=class=ConstantRandomVector description=[] point=class=Point name=Unnamed dimension=0 values=[] operator=class=Less name=Unnamed threshold=0 isStandardPointOriginInFailureSpace=false hasoferReliabilityIndex=0 importanceFactors=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] classicalImportanceFactors=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] hasoferReliabilityIndexSensitivity=[] sortedCurvatures=class=Point name=Unnamed dimension=0 values=[] eventProbabilityBreitung=-1 eventProbabilityHohenBichler=-1 eventProbabilityTvedt=-1 generalisedReliabilityIndexBreitung=1.79769e+308 generalisedReliabilityIndexHohenBichler=1.79769e+308 generalisedReliabilityIndexTvedt=1.79769e+308 gradientLimitStateFunction_=class=Point name=Unnamed dimension=0 values=[] hessianLimitStateFunction_=class=SquareMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[]
loaded SORM = class=SORM class=Analytical nearestPointAlgorithm=class=OptimizationAlgorithm implementation=class=AbdoRackwitz class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=QuadraticEvaluation name=Unnamed center=class=Point name=Unnamed dimension=3 values=[0,0,0] constant=class=Point name=Unnamed dimension=1 values=[0] linear=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=1 values=[0,0,0] quadratic=class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=1 values=[1,0,0,0,1,0,0,0,1] gradientImplementation=class=LinearGradient name=Unnamed center=class=Point name=Unnamed dimension=3 values=[0,0,0] constant=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=1 values=[0,0,0] linear=class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=1 values=[1,0,0,0,1,0,0,0,1] hessianImplementation=class=ConstantHessian name=Unnamed constant=class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=1 values=[1,0,0,0,1,0,0,0,1] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=LinearCombinationEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=LinearEvaluation name=Unnamed center=class=Point name=Unnamed dimension=3 values=[0,0,0] constant=class=Point name=Unnamed dimension=1 values=[50] linear=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=1 values=[0,0,0] gradientImplementation=class=ConstantGradient name=Unnamed constant=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=1 values=[0,0,0] hessianImplementation=class=ConstantHessian name=Unnamed constant=class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=1 values=[0,0,0,0,0,0,0,0,0]] coefficients=class=Point name=Unnamed dimension=2 values=[1,-1] gradientImplementation=class=LinearCombinationGradient evaluation=class=LinearCombinationEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=LinearEvaluation name=Unnamed center=class=Point name=Unnamed dimension=3 values=[0,0,0] constant=class=Point name=Unnamed dimension=1 values=[50] linear=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=1 values=[0,0,0] gradientImplementation=class=ConstantGradient name=Unnamed constant=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=1 values=[0,0,0] hessianImplementation=class=ConstantHessian name=Unnamed constant=class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=1 values=[0,0,0,0,0,0,0,0,0]] coefficients=class=Point name=Unnamed dimension=2 values=[1,-1] hessianImplementation=class=LinearCombinationHessian evaluation=class=LinearCombinationEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=LinearEvaluation name=Unnamed center=class=Point name=Unnamed dimension=3 values=[0,0,0] constant=class=Point name=Unnamed dimension=1 values=[50] linear=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=1 values=[0,0,0] gradientImplementation=class=ConstantGradient name=Unnamed constant=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=1 values=[0,0,0] hessianImplementation=class=ConstantHessian name=Unnamed constant=class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=1 values=[0,0,0,0,0,0,0,0,0]] coefficients=class=Point name=Unnamed dimension=2 values=[1,-1] inequality constraint=none bounds=none minimization=true dimension=3 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-10 maximumRelativeError=1e-10 maximumResidualError=1e-10 maximumConstraintError=1e-10 verbose=false tau=0.5 omega=0.0001 smooth=1.2 event=class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] antecedent=class=ConstantRandomVector description=[x0,x1,x2] point=class=Point name=Unnamed dimension=3 values=[101,202,303] operator=class=Less name=Unnamed threshold=50 physicalstartingPoint=class=Point name=Unnamed dimension=3 values=[4,4,4] result=class=SORMResult class=AnalyticalResult standardSpaceDesignPoint=class=Point name=Unnamed dimension=0 values=[] physicalSpaceDesignPoint=class=Point name=Unnamed dimension=0 values=[] limitStateVariable=class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[] outputVariablesNames=[] formulas=[] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[] outputVariablesNames=[] formulas=[] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[] outputVariablesNames=[] formulas=[] antecedent=class=ConstantRandomVector description=[] point=class=Point name=Unnamed dimension=0 values=[] operator=class=Less name=Unnamed threshold=0 isStandardPointOriginInFailureSpace=false hasoferReliabilityIndex=0 importanceFactors=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] classicalImportanceFactors=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] hasoferReliabilityIndexSensitivity=[] sortedCurvatures=class=Point name=Unnamed dimension=0 values=[] eventProbabilityBreitung=-1 eventProbabilityHohenBichler=-1 eventProbabilityTvedt=-1 generalisedReliabilityIndexBreitung=1.79769e+308 generalisedReliabilityIndexHohenBichler=1.79769e+308 generalisedReliabilityIndexTvedt=1.79769e+308 gradientLimitStateFunction_=class=Point name=Unnamed dimension=0 values=[] hessianLimitStateFunction_=class=SquareMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[]
saved  FORMResult = class=FORMResult class=AnalyticalResult standardSpaceDesignPoint=class=Point name=Unnamed dimension=2 values=[1,1] physicalSpaceDesignPoint=class=Point name=Physical Space Design Point dimension=2 values=[1,1] limitStateVariable=class=Event name=failureEvent implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=sum implementation=class=FunctionImplementation name=sum description=[x,y,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y] outputVariablesNames=[y0] formulas=[y^2-x] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y] outputVariablesNames=[y0] formulas=[y^2-x] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y] outputVariablesNames=[y0] formulas=[y^2-x] antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[0,0] sigma=class=Point name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] operator=class=Greater name=Unnamed threshold=1 isStandardPointOriginInFailureSpace=false hasoferReliabilityIndex=1.41421 importanceFactors=class=PointWithDescription name=Importance Factors dimension=2 description=[X0,X1] values=[0.5,0.5] classicalImportanceFactors=class=PointWithDescription name=Classical Importance Factors dimension=2 description=[X0,X1] values=[0.5,0.5] hasoferReliabilityIndexSensitivity=[[mean_0 : 0.447214, standard_deviation_0 : 0.447214],[mean_1 : -0.894427, standard_deviation_1 : -0.894427],[R_1_0 : 0]] eventProbability=0.0786496 generalisedReliabilityIndex=1.41421 eventProbabilitySensitivity=[[mean_0 : -0.0656343, standard_deviation_0 : -0.0656343],[mean_1 : 0.131269, standard_deviation_1 : 0.131269],[R_1_0 : -0]]
loaded FORMResult = class=FORMResult class=AnalyticalResult standardSpaceDesignPoint=class=Point name=Unnamed dimension=2 values=[1,1] physicalSpaceDesignPoint=class=Point name=Physical Space Design Point dimension=2 values=[1,1] limitStateVariable=class=Event name=failureEvent implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=sum implementation=class=FunctionImplementation name=sum description=[x,y,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y] outputVariablesNames=[y0] formulas=[y^2-x] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y] outputVariablesNames=[y0] formulas=[y^2-x] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y] outputVariablesNames=[y0] formulas=[y^2-x] antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[0,0] sigma=class=Point name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] operator=class=Greater name=Unnamed threshold=1 isStandardPointOriginInFailureSpace=false hasoferReliabilityIndex=1.41421 importanceFactors=class=PointWithDescription name=Importance Factors dimension=2 description=[X0,X1] values=[0.5,0.5] classicalImportanceFactors=class=PointWithDescription name=Classical Importance Factors dimension=2 description=[X0,X1] values=[0.5,0.5] hasoferReliabilityIndexSensitivity=[[mean_0 : 0.447214, standard_deviation_0 : 0.447214],[mean_1 : -0.894427, standard_deviation_1 : -0.894427],[R_1_0 : 0]] eventProbability=0.0786496 generalisedReliabilityIndex=1.41421 eventProbabilitySensitivity=[[mean_0 : -0.0656343, standard_deviation_0 : -0.0656343],[mean_1 : 0.131269, standard_deviation_1 : 0.131269],[R_1_0 : -0]]
saved  SORMResult = class=SORMResult class=AnalyticalResult standardSpaceDesignPoint=class=Point name=Unnamed dimension=2 values=[1,1] physicalSpaceDesignPoint=class=Point name=Physical Space Design Point dimension=2 values=[1,1] limitStateVariable=class=Event name=failureEvent implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=sum implementation=class=FunctionImplementation name=sum description=[x,y,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y] outputVariablesNames=[y0] formulas=[y^2-x] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y] outputVariablesNames=[y0] formulas=[y^2-x] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y] outputVariablesNames=[y0] formulas=[y^2-x] antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[0,0] sigma=class=Point name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] operator=class=Greater name=Unnamed threshold=1 isStandardPointOriginInFailureSpace=false hasoferReliabilityIndex=1.41421 importanceFactors=class=PointWithDescription name=Unnamed dimension=2 description=[,] values=[0,0] classicalImportanceFactors=class=PointWithDescription name=Unnamed dimension=2 description=[,] values=[0,0] hasoferReliabilityIndexSensitivity=[] sortedCurvatures=class=Point name=Unnamed dimension=2 values=[-0.178885,0] eventProbabilityBreitung=0.0909978 eventProbabilityHohenBichler=0.0963599 eventProbabilityTvedt=0.0949791 generalisedReliabilityIndexBreitung=1.33464 generalisedReliabilityIndexHohenBichler=1.30258 generalisedReliabilityIndexTvedt=1.3107 gradientLimitStateFunction_=class=Point name=Unnamed dimension=2 values=[-1,2] hessianLimitStateFunction_=class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0,0,0,2]
loaded SORMResult = class=SORMResult class=AnalyticalResult standardSpaceDesignPoint=class=Point name=Unnamed dimension=2 values=[1,1] physicalSpaceDesignPoint=class=Point name=Physical Space Design Point dimension=2 values=[1,1] limitStateVariable=class=Event name=failureEvent implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=sum implementation=class=FunctionImplementation name=sum description=[x,y,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y] outputVariablesNames=[y0] formulas=[y^2-x] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y] outputVariablesNames=[y0] formulas=[y^2-x] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x,y] outputVariablesNames=[y0] formulas=[y^2-x] antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[0,0] sigma=class=Point name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] operator=class=Greater name=Unnamed threshold=1 isStandardPointOriginInFailureSpace=false hasoferReliabilityIndex=1.41421 importanceFactors=class=PointWithDescription name=Unnamed dimension=2 description=[,] values=[0,0] classicalImportanceFactors=class=PointWithDescription name=Unnamed dimension=2 description=[,] values=[0,0] hasoferReliabilityIndexSensitivity=[] sortedCurvatures=class=Point name=Unnamed dimension=2 values=[-0.178885,0] eventProbabilityBreitung=0.0909978 eventProbabilityHohenBichler=0.0963599 eventProbabilityTvedt=0.0949791 generalisedReliabilityIndexBreitung=1.33464 generalisedReliabilityIndexHohenBichler=1.30258 generalisedReliabilityIndexTvedt=1.3107 gradientLimitStateFunction_=class=Point name=Unnamed dimension=2 values=[-1,2] hessianLimitStateFunction_=class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0,0,0,2]
saved  TaylorExpansionMoments = limitStateVariable=class=RandomVector implementation=class=CompositeRandomVector function=class=Function name=analytical implementation=class=FunctionImplementation name=analytical description=[a,b,c,y0,y1,y2] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0,y1,y2] formulas=[a+b+c,a-b*c,(a+2*b^2+3*c^3)/6] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0,y1,y2] formulas=[a+b+c,a-b*c,(a+2*b^2+3*c^3)/6] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0,y1,y2] formulas=[a+b+c,a-b*c,(a+2*b^2+3*c^3)/6] antecedent=class=UsualRandomVector distribution=class=IndependentCopula name=IndependentCopula dimension=3 meanInputVector=class=Point name=Unnamed dimension=3 values=[0.5,0.5,0.5] hessianAtMean=class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=3 values=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0.666667,0,0,0,1.5] gradientAtMean=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,1,1,1,-0.5,-0.5,0.166667,0.333334,0.375] valueAtMean=class=Point name=Unnamed dimension=3 values=[1.5,0.25,0.229167] meanFirstOrder=class=Point name=Unnamed dimension=3 values=[1.5,0.25,0.229167] meanSecondOrder=class=Point name=Unnamed dimension=3 values=[1.5,0.25,0.319444] covariance=class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[0.25,0,0.0729167,0,0.125,-0.015625,0.0729167,-0.015625,0.0232928] inputCovariance=class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[0.0833333,0,0,0,0.0833333,0,0,0,0.0833333] importanceFactors=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[]
loaded TaylorExpansionMoments = limitStateVariable=class=RandomVector implementation=class=CompositeRandomVector function=class=Function name=analytical implementation=class=FunctionImplementation name=analytical description=[a,b,c,y0,y1,y2] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0,y1,y2] formulas=[a+b+c,a-b*c,(a+2*b^2+3*c^3)/6] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0,y1,y2] formulas=[a+b+c,a-b*c,(a+2*b^2+3*c^3)/6] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0,y1,y2] formulas=[a+b+c,a-b*c,(a+2*b^2+3*c^3)/6] antecedent=class=UsualRandomVector distribution=class=IndependentCopula name=IndependentCopula dimension=3 meanInputVector=class=Point name=Unnamed dimension=3 values=[0.5,0.5,0.5] hessianAtMean=class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=3 values=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,0,0,0,0,0,0,0,0.666667,0,0,0,1.5] gradientAtMean=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,1,1,1,-0.5,-0.5,0.166667,0.333334,0.375] valueAtMean=class=Point name=Unnamed dimension=3 values=[1.5,0.25,0.229167] meanFirstOrder=class=Point name=Unnamed dimension=3 values=[1.5,0.25,0.229167] meanSecondOrder=class=Point name=Unnamed dimension=3 values=[1.5,0.25,0.319444] covariance=class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[0.25,0,0.0729167,0,0.125,-0.015625,0.0729167,-0.015625,0.0232928] inputCovariance=class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[0.0833333,0,0,0,0.0833333,0,0,0,0.0833333] importanceFactors=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[]
saved  ARMACoefficients = class=ARMACoefficients, shift=0, value=class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,2,3,4], shift=1, value=class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[3,6,9,12], shift=2, value=class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.666667,1.33333,2,2.66667]
loaded ARMACoefficients = class=ARMACoefficients, shift=0, value=class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,2,3,4], shift=1, value=class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[3,6,9,12], shift=2, value=class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.666667,1.33333,2,2.66667]
saved  ARMAState = class= ARMAState x= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=6 dimension=1 data=[[1],[3],[5],[7],[9],[11]] epsilon= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=1 data=[[0.843891],[0.657449],[0.13564],[0.666778]]
loaded ARMAState = class= ARMAState x= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=6 dimension=1 data=[[1],[3],[5],[7],[9],[11]] epsilon= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=4 dimension=1 data=[[0.843891],[0.657449],[0.13564],[0.666778]]
saved  WhiteNoise = class=WhiteNoise distribution=class=ComposedDistribution name=ComposedDistribution dimension=2 copula=class=IndependentCopula name=IndependentCopula dimension=2 marginal[0]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[0.01] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[1]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[0.02] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
loaded WhiteNoise = class=WhiteNoise distribution=class=ComposedDistribution name=ComposedDistribution dimension=2 copula=class=IndependentCopula name=IndependentCopula dimension=2 marginal[0]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[0.01] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[1]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[0.02] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
saved  WhittleFactory = class= WhittleFactory p = [1] q = [2] spectralModelFactory = class=WelchFactory window = class=FilteringWindows implementation=class=Hamming blockNumber = 1 overlap = 0
loaded WhittleFactory = class= WhittleFactory p = [1] q = [2] spectralModelFactory = class=WelchFactory window = class=FilteringWindows implementation=class=Hamming blockNumber = 1 overlap = 0
saved  ARMA = class= ARMA timeGrid=class=RegularGrid name=Unnamed start=0 step=0.142857 n=8 coefficients AR=class=ARMACoefficients, shift=0, value=class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.2,0.3,0.7,0.4] coefficients MA=class=ARMACoefficients, shift=0, value=class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.1,0,0,0.5] noiseDistribution= class=ComposedDistribution name=ComposedDistribution dimension=2 copula=class=IndependentCopula name=IndependentCopula dimension=2 marginal[0]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[0.01] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[1]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[0.02] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] state= class= ARMAState x= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=1 dimension=2 data=[[-0.0167467,0.0333059]] epsilon= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=1 dimension=2 data=[[-0.0183088,0.0329982]]
loaded ARMA = class= ARMA timeGrid=class=RegularGrid name=Unnamed start=0 step=0.142857 n=8 coefficients AR=class=ARMACoefficients, shift=0, value=class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.2,0.3,0.7,0.4] coefficients MA=class=ARMACoefficients, shift=0, value=class=SquareMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.1,0,0,0.5] noiseDistribution= class=ComposedDistribution name=ComposedDistribution dimension=2 copula=class=IndependentCopula name=IndependentCopula dimension=2 marginal[0]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[0.01] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[1]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[0.02] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] state= class= ARMAState x= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=1 dimension=2 data=[[-0.0167467,0.0333059]] epsilon= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=1 dimension=2 data=[[-0.0183088,0.0329982]]
saved  Basis = class=Basis coll=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x0],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x1],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x2]]
loaded Basis = class=Basis coll=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x0],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x1],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x2]]
saved  BasisSequence = class=BasisSequence implementation=class=BasisSequenceImplementation collection=[[0],[0,1],[0,1,2]] masterBasis=class=Basis coll=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x0],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x1],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x2]]
loaded BasisSequence = class=BasisSequence implementation=class=BasisSequenceImplementation collection=[[0],[0,1],[0,1,2]] masterBasis=class=Basis coll=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x0],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x1],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2] outputVariablesNames=[y0] formulas=[x2]]
saved  UniVariatePolynomial = class=UniVariatePolynomial coefficients=class=Point name=Unnamed dimension=3 values=[-2.5,3.5,-1.2]
loaded UniVariatePolynomial = class=UniVariatePolynomial coefficients=class=Point name=Unnamed dimension=3 values=[-2.5,3.5,-1.2]
saved  CauchyModel = class=CauchyModel amplitude=class=Point name=Unnamed dimension=1 values=[1] scale=class=Point name=Unnamed dimension=1 values=[1] spatial correlation=class=CorrelationMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isDiagonal=true
loaded CauchyModel = class=CauchyModel amplitude=class=Point name=Unnamed dimension=1 values=[1] scale=class=Point name=Unnamed dimension=1 values=[1] spatial correlation=class=CorrelationMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isDiagonal=true
saved  ExponentialCauchy = class=ExponentialCauchy derived from class= SecondOrderModelImplementation covariance model=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1] spectral model=class=CauchyModel amplitude=class=Point name=Unnamed dimension=1 values=[1] scale=class=Point name=Unnamed dimension=1 values=[1] spatial correlation=class=CorrelationMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isDiagonal=true
loaded ExponentialCauchy = class=ExponentialCauchy derived from class= SecondOrderModelImplementation covariance model=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1] spectral model=class=CauchyModel amplitude=class=Point name=Unnamed dimension=1 values=[1] scale=class=Point name=Unnamed dimension=1 values=[1] spatial correlation=class=CorrelationMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isDiagonal=true
saved  AbsoluteExponential = class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1]
loaded AbsoluteExponential = class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1]
saved  SecondOrderModel = class=SecondOrderModel implementation=class= SecondOrderModelImplementation covariance model=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1] spectral model=class=CauchyModel amplitude=class=Point name=Unnamed dimension=1 values=[1] scale=class=Point name=Unnamed dimension=1 values=[1] spatial correlation=class=CorrelationMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isDiagonal=true
loaded SecondOrderModel = class=SecondOrderModel implementation=class= SecondOrderModelImplementation covariance model=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1] spectral model=class=CauchyModel amplitude=class=Point name=Unnamed dimension=1 values=[1] scale=class=Point name=Unnamed dimension=1 values=[1] spatial correlation=class=CorrelationMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isDiagonal=true
saved  CompositeProcess = class=CompositeProcess function=class=FieldFunction name=Unnamed implementation=class=ValueFunction evaluation=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[2 * x + 5] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[2 * x + 5] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[2 * x + 5] antecedent=class= ARMA timeGrid=class=RegularGrid name=Unnamed start=0 step=0.1 n=11 coefficients AR=class=ARMACoefficients coefficients MA=class=ARMACoefficients noiseDistribution= class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] state= class= ARMAState x= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[] epsilon= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[]
loaded CompositeProcess = class=CompositeProcess function=class=FieldFunction name=Unnamed implementation=class=ValueFunction evaluation=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[2 * x + 5] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[2 * x + 5] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[2 * x + 5] antecedent=class= ARMA timeGrid=class=RegularGrid name=Unnamed start=0 step=0.1 n=11 coefficients AR=class=ARMACoefficients coefficients MA=class=ARMACoefficients noiseDistribution= class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] state= class= ARMAState x= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[] epsilon= class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[]
saved  SpectralGaussianProcess = class=SpectralGaussianProcess timeGrid=class=RegularGrid name=Unnamed start=0 step=0.142857 n=8 spectralModel=class=CauchyModel amplitude=class=Point name=Unnamed dimension=1 values=[1] scale=class=Point name=Unnamed dimension=1 values=[1] spatial correlation=class=CorrelationMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isDiagonal=true maximal frequency=3.5 n frequency=4 cholesky cache=[]
loaded SpectralGaussianProcess = class=SpectralGaussianProcess timeGrid=class=RegularGrid name=Unnamed start=0 step=0.142857 n=8 spectralModel=class=CauchyModel amplitude=class=Point name=Unnamed dimension=1 values=[1] scale=class=Point name=Unnamed dimension=1 values=[1] spatial correlation=class=CorrelationMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isDiagonal=true maximal frequency=3.5 n frequency=4 cholesky cache=[]
saved  GaussianProcess = class=GaussianProcess mesh=class=Mesh name=Unnamed dimension=1 vertices=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=8 dimension=1 description=[t] data=[[0],[0.142857],[0.285714],[0.428571],[0.571429],[0.714286],[0.857143],[1]] simplices=[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[6,7]] trend=class=TrendTransform inherited from class=VertexValueFunction evaluation=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x0,y0] evaluationImplementation=class=TrendEvaluation name=Unnamed function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=TrendEvaluation name=Unnamed function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=TrendEvaluation name=Unnamed function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] covarianceModel=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1] covarianceCholeskyFactor=class=TriangularMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isInitialized=false hasStationaryTrend=true checkedStationaryTrend=true
loaded GaussianProcess = class=GaussianProcess mesh=class=Mesh name=Unnamed dimension=1 vertices=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=8 dimension=1 description=[t] data=[[0],[0.142857],[0.285714],[0.428571],[0.571429],[0.714286],[0.857143],[1]] simplices=[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[6,7]] trend=class=TrendTransform inherited from class=VertexValueFunction evaluation=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x0,y0] evaluationImplementation=class=TrendEvaluation name=Unnamed function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=TrendEvaluation name=Unnamed function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=TrendEvaluation name=Unnamed function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0] outputVariablesNames=[y0] formulas=[0.0] covarianceModel=class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1] covarianceCholeskyFactor=class=TriangularMatrix dimension=0 implementation=class=MatrixImplementation name=Unnamed rows=0 columns=0 values=[] isInitialized=false hasStationaryTrend=true checkedStationaryTrend=true
saved  Domain = class=Interval name=Unnamed dimension=2 lower bound=class=Point name=Unnamed dimension=2 values=[-1,-1] upper bound=class=Point name=Unnamed dimension=2 values=[2,2] finite lower bound=[1,1] finite upper bound=[1,1]
loaded Domain = class=Interval name=Unnamed dimension=2 lower bound=class=Point name=Unnamed dimension=2 values=[-1,-1] upper bound=class=Point name=Unnamed dimension=2 values=[2,2] finite lower bound=[1,1] finite upper bound=[1,1]
saved  EventDomain = class=EventDomain antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1] outputVariablesNames=[y0,y1] formulas=[x0,x1] antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[0,0] sigma=class=Point name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] domain=class=Interval name=Unnamed dimension=2 lower bound=class=Point name=Unnamed dimension=2 values=[0,0] upper bound=class=Point name=Unnamed dimension=2 values=[1,1] finite lower bound=[1,1] finite upper bound=[1,1]
loaded EventDomain = class=EventDomain antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1] outputVariablesNames=[y0,y1] formulas=[x0,x1] antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[0,0] sigma=class=Point name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] domain=class=Interval name=Unnamed dimension=2 lower bound=class=Point name=Unnamed dimension=2 values=[0,0] upper bound=class=Point name=Unnamed dimension=2 values=[1,1] finite lower bound=[1,1] finite upper bound=[1,1]
saved  EventProcess = class=EventProcess domain=class=Interval name=Unnamed dimension=2 lower bound=class=Point name=Unnamed dimension=2 values=[0,0] upper bound=class=Point name=Unnamed dimension=2 values=[1,1] finite lower bound=[1,1] finite upper bound=[1,1] process=class=Process implementation=class=WhiteNoise distribution=class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[0,0] sigma=class=Point name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1]
loaded EventProcess = class=EventProcess domain=class=Interval name=Unnamed dimension=2 lower bound=class=Point name=Unnamed dimension=2 values=[0,0] upper bound=class=Point name=Unnamed dimension=2 values=[1,1] finite lower bound=[1,1] finite upper bound=[1,1] process=class=Process implementation=class=WhiteNoise distribution=class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[0,0] sigma=class=Point name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1]
saved  ConstantStep = class=ConstantStep derived from class=FiniteDifferenceStepImplementation epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05]
loaded ConstantStep = class=ConstantStep derived from class=FiniteDifferenceStepImplementation epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05]
saved  BlendedStep = class=BlendedStep derived from class=FiniteDifferenceStepImplementation epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] eta=class=Point name=Unnamed dimension=2 values=[1,1]
loaded BlendedStep = class=BlendedStep derived from class=FiniteDifferenceStepImplementation epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] eta=class=Point name=Unnamed dimension=0 values=[]
saved  FunctionalBasisProcess = class=FunctionalBasisProcess distribution=class=ComposedDistribution name=ComposedDistribution dimension=10 copula=class=IndependentCopula name=IndependentCopula dimension=10 marginal[0]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[1]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[2] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[2]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[3] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[3]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[4] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[4]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[5]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[6] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[6]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[7] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[7]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[8] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[8]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[9] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[9]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[10] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] basis=class=Basis coll=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(0*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(0*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(0*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(1*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(1*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(1*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(2*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(2*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(2*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(3*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(3*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(3*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(4*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(4*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(4*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(5*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(5*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(5*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(6*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(6*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(6*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(7*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(7*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(7*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(8*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(8*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(8*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(9*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(9*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(9*x)]]
loaded FunctionalBasisProcess = class=FunctionalBasisProcess distribution=class=ComposedDistribution name=ComposedDistribution dimension=10 copula=class=IndependentCopula name=IndependentCopula dimension=10 marginal[0]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[1]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[2] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[2]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[3] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[3]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[4] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[4]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[5]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[6] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[6]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[7] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[7]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[8] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[8]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[9] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] marginal[9]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[10] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] basis=class=Basis coll=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(0*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(0*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(0*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(1*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(1*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(1*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(2*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(2*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(2*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(3*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(3*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(3*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(4*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(4*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(4*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(5*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(5*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(5*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(6*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(6*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(6*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(7*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(7*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(7*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(8*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(8*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(8*x)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(9*x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(9*x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(9*x)]]
saved  RandomWalk = class=RandomWalk, origin=class=Point name=Unnamed dimension=1 values=[0], distribution=class=Uniform name=Uniform dimension=1 a=-1 b=1
loaded RandomWalk = class=RandomWalk, origin=class=Point name=Unnamed dimension=1 values=[0], distribution=class=Uniform name=Uniform dimension=1 a=-1 b=1
saved  RegularGrid = class=RegularGrid name=Unnamed start=0 step=0.142857 n=8
loaded RegularGrid = class=RegularGrid name=Unnamed start=0 step=0.142857 n=8
saved  MixtureClassifier = class=MixtureClassifier mixture=class=Mixture name=Mixture dimension=3 distributionCollection=[class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[0.5,-0.5,1] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1],class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[1.5,0.5,2] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1],class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[2.5,1.5,3] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1]] weightsDistribution=class=UserDefined name=UserDefined dimension=1 points=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=3 dimension=1 data=[[0],[1],[2]] probabilities=class=Point name=Unnamed dimension=3 values=[0.333333,0.333333,0.333333]
loaded MixtureClassifier = class=MixtureClassifier mixture=class=Mixture name=Mixture dimension=3 distributionCollection=[class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[0.5,-0.5,1] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1],class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[1.5,0.5,2] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1],class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[2.5,1.5,3] sigma=class=Point name=Unnamed dimension=3 values=[2,3,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0,0.5,1,0.5,0,0.5,1]] weightsDistribution=class=UserDefined name=UserDefined dimension=1 points=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=3 dimension=1 data=[[0],[1],[2]] probabilities=class=Point name=Unnamed dimension=3 values=[0.333333,0.333333,0.333333]
saved  TestResult = class=TestResult name=Unnamed type=testResult binaryQualityMeasure=true p-value threshold=0.42 p-value=0.372 description=[]
loaded TestResult = class=TestResult name=Unnamed type=testResult binaryQualityMeasure=true p-value threshold=0.42 p-value=0.372 description=[]
saved  StrongMaximumTest = class=StrongMaximumTest event=class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[X0,X1,X2,y0] left function=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] right function=class=FunctionImplementation name=Unnamed description=[X0,X1,X2,X0,X1,X2] evaluationImplementation=class=InverseRosenblattEvaluation description=[X0,X1,X2,X0,X1,X2] distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=3 values=[1e-05,1e-05,1e-05] evaluation=class=InverseRosenblattEvaluation description=[X0,X1,X2,X0,X1,X2] distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=3 values=[0.0001,0.0001,0.0001] evaluation=class=InverseRosenblattEvaluation description=[X0,X1,X2,X0,X1,X2] distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[0,0,0] sigma=class=Point name=Unnamed dimension=3 values=[1,1,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0,0,0,1,0,0,0,1] operator=class=Less name=Unnamed threshold=50 standardSpaceDesignPoint=class=Point name=Unnamed dimension=3 values=[-2.86228,0,0] importanceLevel=0.01 accuracyLevel=2 confidenceLevel=0.999999 designPointVicinity=0.522209 pointNumber=109 deltaEpsilon=0.457471 nearDesignPointVerifyingEventPoints=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=3 data=[] nearDesignPointVerifyingEventValues=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[] farDesignPointVerifyingEventPoints=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=3 data=[] farDesignPointVerifyingEventValues=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[] nearDesignPointViolatingEventPoints=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=3 data=[] nearDesignPointViolatingEventValues=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[] farDesignPointViolatingEventPoints=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=3 data=[] farDesignPointViolatingEventValues=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[]
loaded StrongMaximumTest = class=StrongMaximumTest event=class=Event name=Unnamed implementation=class=EventRandomVector antecedent=class=CompositeRandomVector function=class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[X0,X1,X2,y0] left function=class=FunctionImplementation name=Unnamed description=[a,b,c,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[a,b,c] outputVariablesNames=[y0] formulas=[a+b+c] right function=class=FunctionImplementation name=Unnamed description=[X0,X1,X2,X0,X1,X2] evaluationImplementation=class=InverseRosenblattEvaluation description=[X0,X1,X2,X0,X1,X2] distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=3 values=[1e-05,1e-05,1e-05] evaluation=class=InverseRosenblattEvaluation description=[X0,X1,X2,X0,X1,X2] distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=3 values=[0.0001,0.0001,0.0001] evaluation=class=InverseRosenblattEvaluation description=[X0,X1,X2,X0,X1,X2] distribution=class=Dirac name=Dirac dimension=3 point=class=Point name=Unnamed dimension=3 values=[101,202,303] antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[0,0,0] sigma=class=Point name=Unnamed dimension=3 values=[1,1,1] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0,0,0,1,0,0,0,1] operator=class=Less name=Unnamed threshold=50 standardSpaceDesignPoint=class=Point name=Unnamed dimension=3 values=[-2.86228,0,0] importanceLevel=0.01 accuracyLevel=2 confidenceLevel=0.999999 designPointVicinity=0.522209 pointNumber=109 deltaEpsilon=0.457471 nearDesignPointVerifyingEventPoints=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=3 data=[] nearDesignPointVerifyingEventValues=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[] farDesignPointVerifyingEventPoints=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=3 data=[] farDesignPointVerifyingEventValues=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[] nearDesignPointViolatingEventPoints=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=3 data=[] nearDesignPointViolatingEventValues=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[] farDesignPointViolatingEventPoints=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=3 data=[] farDesignPointViolatingEventValues=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=0 dimension=1 data=[]
saved  ExpertMixture = class=ExpertMixture, experts=class=Basis coll=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[-x] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[-x] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[-x],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[x] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[x] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[x]], classifier=class=MixtureClassifier mixture=class=Mixture name=Mixture dimension=2 distributionCollection=[class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[-1,1] sigma=class=Point name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,-0.99,-0.99,1],class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0.99,0.99,1]] weightsDistribution=class=UserDefined name=UserDefined dimension=1 points=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=1 data=[[0],[1]] probabilities=class=Point name=Unnamed dimension=2 values=[0.5,0.5]
loaded ExpertMixture = class=ExpertMixture, experts=class=Basis coll=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[-x] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[-x] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[-x],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[x] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[x] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[x]], classifier=class=MixtureClassifier mixture=class=Mixture name=Mixture dimension=2 distributionCollection=[class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[-1,1] sigma=class=Point name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,-0.99,-0.99,1],class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point name=Unnamed dimension=2 values=[1,1] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0.99,0.99,1]] weightsDistribution=class=UserDefined name=UserDefined dimension=1 points=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=1 data=[[0],[1]] probabilities=class=Point name=Unnamed dimension=2 values=[0.5,0.5]
saved  UserDefinedCovarianceModel = class=UserDefinedCovarianceModel mesh=class=RegularGrid name=Unnamed start=0 step=0.1 n=20 covarianceCollection=[class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.22313],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.201897],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.182684],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.165299],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.149569],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.22313],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.201897],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.182684],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.165299],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.22313],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.201897],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.182684],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.22313],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.201897],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.22313],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]]
loaded UserDefinedCovarianceModel = class=UserDefinedCovarianceModel mesh=class=RegularGrid name=Unnamed start=0 step=0.1 n=20 covarianceCollection=[class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.22313],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.201897],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.182684],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.165299],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.149569],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.22313],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.201897],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.182684],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.165299],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.22313],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.201897],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.182684],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.22313],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.201897],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.22313],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]]
saved  UserDefinedStationaryCovarianceModel = class=UserDefinedStationaryCovarianceModel mesh=class=RegularGrid name=Unnamed start=0 step=0.1 n=20 covarianceCollection=[class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.22313],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.201897],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.182684],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.165299],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.149569]]
loaded UserDefinedStationaryCovarianceModel = class=UserDefinedStationaryCovarianceModel mesh=class=RegularGrid name=Unnamed start=0 step=0.1 n=20 covarianceCollection=[class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.904837],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.818731],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.740818],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.67032],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.606531],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.548812],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.496585],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.449329],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.40657],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.367879],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.332871],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.301194],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.272532],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.246597],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.22313],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.201897],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.182684],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.165299],class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.149569]]
