Copula class=ComposedCopula name=ComposedCopula dimension=7 copula[0]=class=FrankCopula name=FrankCopula dimension=2 theta=3 copula[1]=class=NormalCopula name=NormalCopula dimension=3 correlation=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0.5,0.25,0.5,1,0,0.25,0,1] copula[2]=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2
Copula ComposedCopula(FrankCopula(theta = 3), NormalCopula(R = [[ 1    0.5  0.25 ]
 [ 0.5  1    0    ]
 [ 0.25 0    1    ]]), ClaytonCopula(theta = 2))
Elliptical distribution= false
Continuous = true
Elliptical = false
Independent = false
oneRealization=class=Point name=Unnamed dimension=7 values=[0.629877,0.893758,0.102726,0.155617,0.816172,0.0632061,0.0560402]
oneSample first=class=Point name=Unnamed dimension=7 values=[0.714382,0.535485,0.361292,0.857057,0.68437,0.684575,0.881797] last=class=Point name=Unnamed dimension=7 values=[0.791736,0.439906,0.167406,0.184528,0.064039,0.0580909,0.0426336]
mean=class=Point name=Unnamed dimension=7 values=[0.499089,0.499413,0.497874,0.501718,0.499415,0.50039,0.499583]
covariance=class=CovarianceMatrix dimension=7 implementation=class=MatrixImplementation name=Unnamed rows=7 columns=7 values=[0.08521,0.03941,-0.001371,-0.00121,1.813e-05,0.001567,0.001463,0.03941,0.08388,-0.001656,-0.0006699,0.0007087,0.002045,0.00153,-0.001371,-0.001656,0.08316,0.04072,0.02003,0.0006667,-0.00105,-0.00121,-0.0006699,0.04072,0.083,2.415e-06,-0.000755,-0.001269,1.813e-05,0.0007087,0.02003,2.415e-06,0.08511,0.000302,-0.000421,0.001567,0.002045,0.0006667,-0.000755,0.000302,0.08351,0.05735,0.001463,0.00153,-0.00105,-0.001269,-0.000421,0.05735,0.08381]
Point= class=Point name=Unnamed dimension=7 values=[0.6,0.6,0.6,0.6,0.6,0.6,0.6]
ddf     =class=Point name=Unnamed dimension=7 values=[0.580905,0.580905,0.91183,0.260523,0.130261,0.177648,0.177648]
ddf (FD)=class=Point name=Unnamed dimension=7 values=[0.580905,0.580905,0.91183,0.260523,0.130261,0.177648,0.177648]
pdf     =2.18507
cdf=0.0587971
Survival      =0.00724359
Survival (ref)=0.00724359
Inverse survival=class=Point name=Unnamed dimension=7 values=[0.00832738,0.00832738,0.00832738,0.00832738,0.00832738,0.00832738,0.00832738]
Survival(inverse survival)=0.95
Quantile=class=Point name=Unnamed dimension=7 values=[0.895624,0.895624,0.895624,0.895624,0.895624,0.895624,0.895624]
CDF(quantile)=0.5
mean=class=Point name=Unnamed dimension=7 values=[0.5,0.5,0.5,0.5,0.5,0.5,0.5]
parameters=[[copula_0_theta : 3, copula_1_R_2_1 : 0.5, copula_1_R_3_1 : 0.25, copula_1_R_3_2 : 0, copula_2_theta : 2]]
covariance=class=CovarianceMatrix dimension=7 implementation=class=MatrixImplementation name=Unnamed rows=7 columns=7 values=[0.08333,0.03739,0,0,0,0,0,0.03739,0.08333,0,0,0,0,0,0,0,0.08333,0.04022,0.01995,0,0,0,0,0.04022,0.08333,0,0,0,0,0,0.01995,0,0.08333,0,0,0,0,0,0,0,0.08333,0.05685,0,0,0,0,0,0.05685,0.08333]
correlation=class=CorrelationMatrix dimension=7 implementation=class=MatrixImplementation name=Unnamed rows=7 columns=7 values=[1,0.4487,0,0,0,0,0,0.4487,1,0,0,0,0,0,0,0,1,0.4826,0.2394,0,0,0,0,0.4826,1,0,0,0,0,0,0.2394,0,1,0,0,0,0,0,0,0,1,0.6822,0,0,0,0,0,0.6822,1]
spearman=class=CorrelationMatrix dimension=7 implementation=class=MatrixImplementation name=Unnamed rows=7 columns=7 values=[1,0.4487,0,0,0,0,0,0.4487,1,0,0,0,0,0,0,0,1,0.4826,0.2394,0,0,0,0,0.4826,1,0,0,0,0,0,0.2394,0,1,0,0,0,0,0,0,0,1,0.6822,0,0,0,0,0,0.6822,1]
kendall=class=CorrelationMatrix dimension=7 implementation=class=MatrixImplementation name=Unnamed rows=7 columns=7 values=[1,0.3072,0,0,0,0,0,0.3072,1,0,0,0,0,0,0,0,1,0.3333,0.1609,0,0,0,0,0.3333,1,0,0,0,0,0,0.1609,0,1,0,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0.5,1]
indices=[1,2,3,5,6]
margins=class=ComposedCopula name=ComposedCopula dimension=5 copula[0]=class=IndependentCopula name=IndependentCopula dimension=1 copula[1]=class=NormalCopula name=NormalCopula dimension=2 correlation=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0.5,0.5,1] copula[2]=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2
margins PDF=3.08607
margins CDF=0.00540051
margins quantile=class=Point name=Unnamed dimension=5 values=[0.989493,0.989493,0.989493,0.989493,0.989493]
margins CDF(quantile)=0.95
margins realization=class=Point name=Unnamed dimension=5 values=[0.374352,0.645016,0.316395,0.102431,0.120505]
isoprobabilistic transformation (general normal)=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1,y0,y1,y2,Y0,Y1] evaluationImplementation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1] left function=class=FunctionImplementation name=Unnamed description=[X0,X1,Y0,Y1] evaluationImplementation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=FrankCopula name=FrankCopula dimension=2 theta=3 gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=FrankCopula name=FrankCopula dimension=2 theta=3 hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=FrankCopula name=FrankCopula dimension=2 theta=3 right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1],class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1,y2] left function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0,y1,y2] evaluationImplementation=class=NatafEllipticalCopulaEvaluation description=[x0,x1,x2,y0,y1,y2] standardDistribution=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] cholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] gradientImplementation=class=NatafEllipticalCopulaGradient standardDistribution=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] inverseCholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] hessianImplementation=class=NatafEllipticalCopulaHessian standardDistribution=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] inverseCholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1,y2] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2],class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1] left function=class=FunctionImplementation name=Unnamed description=[X0,X1,Y0,Y1] evaluationImplementation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1]] gradientImplementation=class=AggregatedGradient evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1] left function=class=FunctionImplementation name=Unnamed description=[X0,X1,Y0,Y1] evaluationImplementation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=FrankCopula name=FrankCopula dimension=2 theta=3 gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=FrankCopula name=FrankCopula dimension=2 theta=3 hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=FrankCopula name=FrankCopula dimension=2 theta=3 right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1],class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1,y2] left function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0,y1,y2] evaluationImplementation=class=NatafEllipticalCopulaEvaluation description=[x0,x1,x2,y0,y1,y2] standardDistribution=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] cholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] gradientImplementation=class=NatafEllipticalCopulaGradient standardDistribution=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] inverseCholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] hessianImplementation=class=NatafEllipticalCopulaHessian standardDistribution=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] inverseCholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1,y2] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2],class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1] left function=class=FunctionImplementation name=Unnamed description=[X0,X1,Y0,Y1] evaluationImplementation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1]] hessianImplementation=class=AggregatedHessian evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1] left function=class=FunctionImplementation name=Unnamed description=[X0,X1,Y0,Y1] evaluationImplementation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=FrankCopula name=FrankCopula dimension=2 theta=3 gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=FrankCopula name=FrankCopula dimension=2 theta=3 hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=FrankCopula name=FrankCopula dimension=2 theta=3 right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1],class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1,y2] left function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0,y1,y2] evaluationImplementation=class=NatafEllipticalCopulaEvaluation description=[x0,x1,x2,y0,y1,y2] standardDistribution=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] cholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] gradientImplementation=class=NatafEllipticalCopulaGradient standardDistribution=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] inverseCholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] hessianImplementation=class=NatafEllipticalCopulaHessian standardDistribution=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] inverseCholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1,y2] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2],class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1] left function=class=FunctionImplementation name=Unnamed description=[X0,X1,Y0,Y1] evaluationImplementation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1]]
isoprobabilistic transformation (general non-normal)=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1,y0,y1,y2,Y0,Y1] evaluationImplementation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1] left function=class=FunctionImplementation name=Unnamed description=[X0,X1,Y0,Y1] evaluationImplementation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=SklarCopula name=SklarCopula dimension=2 distribution=class=Student name=Student dimension=2 nu=3 mean=class=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point name=Unnamed dimension=2 values=[3,3] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=SklarCopula name=SklarCopula dimension=2 distribution=class=Student name=Student dimension=2 nu=3 mean=class=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point name=Unnamed dimension=2 values=[3,3] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=SklarCopula name=SklarCopula dimension=2 distribution=class=Student name=Student dimension=2 nu=3 mean=class=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point name=Unnamed dimension=2 values=[3,3] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1],class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1,y2] left function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0,y1,y2] evaluationImplementation=class=NatafEllipticalCopulaEvaluation description=[x0,x1,x2,y0,y1,y2] standardDistribution=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] cholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] gradientImplementation=class=NatafEllipticalCopulaGradient standardDistribution=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] inverseCholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] hessianImplementation=class=NatafEllipticalCopulaHessian standardDistribution=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] inverseCholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1,y2] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2],class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1] left function=class=FunctionImplementation name=Unnamed description=[X0,X1,Y0,Y1] evaluationImplementation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1]] gradientImplementation=class=AggregatedGradient evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1] left function=class=FunctionImplementation name=Unnamed description=[X0,X1,Y0,Y1] evaluationImplementation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=SklarCopula name=SklarCopula dimension=2 distribution=class=Student name=Student dimension=2 nu=3 mean=class=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point name=Unnamed dimension=2 values=[3,3] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=SklarCopula name=SklarCopula dimension=2 distribution=class=Student name=Student dimension=2 nu=3 mean=class=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point name=Unnamed dimension=2 values=[3,3] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=SklarCopula name=SklarCopula dimension=2 distribution=class=Student name=Student dimension=2 nu=3 mean=class=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point name=Unnamed dimension=2 values=[3,3] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1],class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1,y2] left function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0,y1,y2] evaluationImplementation=class=NatafEllipticalCopulaEvaluation description=[x0,x1,x2,y0,y1,y2] standardDistribution=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] cholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] gradientImplementation=class=NatafEllipticalCopulaGradient standardDistribution=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] inverseCholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] hessianImplementation=class=NatafEllipticalCopulaHessian standardDistribution=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] inverseCholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1,y2] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2],class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1] left function=class=FunctionImplementation name=Unnamed description=[X0,X1,Y0,Y1] evaluationImplementation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1]] hessianImplementation=class=AggregatedHessian evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1] left function=class=FunctionImplementation name=Unnamed description=[X0,X1,Y0,Y1] evaluationImplementation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=SklarCopula name=SklarCopula dimension=2 distribution=class=Student name=Student dimension=2 nu=3 mean=class=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point name=Unnamed dimension=2 values=[3,3] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=SklarCopula name=SklarCopula dimension=2 distribution=class=Student name=Student dimension=2 nu=3 mean=class=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point name=Unnamed dimension=2 values=[3,3] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=SklarCopula name=SklarCopula dimension=2 distribution=class=Student name=Student dimension=2 nu=3 mean=class=Point name=Unnamed dimension=2 values=[1,1] sigma=class=Point name=Unnamed dimension=2 values=[3,3] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1],class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1,y2] left function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0,y1,y2] evaluationImplementation=class=NatafEllipticalCopulaEvaluation description=[x0,x1,x2,y0,y1,y2] standardDistribution=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] cholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] gradientImplementation=class=NatafEllipticalCopulaGradient standardDistribution=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] inverseCholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] hessianImplementation=class=NatafEllipticalCopulaHessian standardDistribution=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] inverseCholesky=class=TriangularMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.57735,-0.348155,0,1.1547,0.174078,0,0,1.04447] right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1,y2] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1,y2] formulas=[x0,x1,x2],class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,Y0,Y1] left function=class=FunctionImplementation name=Unnamed description=[X0,X1,Y0,Y1] evaluationImplementation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[1e-05,1e-05] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=2 values=[0.0001,0.0001] evaluation=class=RosenblattEvaluation description=[X0,X1,Y0,Y1] distribution=class=ClaytonCopula name=ClaytonCopula dimension=2 theta=2 right function=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,x4,x5,x6,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3,x4,x5,x6] outputVariablesNames=[y0,y1] formulas=[x0,x1]]
isoprobabilistic transformation (independent)=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[X0,X1,X2,X3,X4,X5,Y0,Y1,Y2,Y3,Y4,Y5] evaluationImplementation=class=NatafIndependentCopulaEvaluation description=[X0,X1,X2,X3,X4,X5,Y0,Y1,Y2,Y3,Y4,Y5] dimension=6 gradientImplementation=class=NatafIndependentCopulaGradient dimension=6 hessianImplementation=class=NatafIndependentCopulaHessian dimension=6
isoprobabilistic transformation (single contributor)=class=Function name=Unnamed implementation=class=ComposedFunction name=Unnamed description=[x0,x1,y0,y1] left function=class=FunctionImplementation name=Unnamed description=[x0,x1,y0,y1] evaluationImplementation=class=NatafEllipticalDistributionEvaluation mean=class=Point name=Unnamed dimension=2 values=[1,1] inverseCholesky=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.333333,0,0,0.333333] gradientImplementation=class=NatafEllipticalDistributionGradient inverseCholesky=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.333333,0,0,0.333333] hessianImplementation=class=NatafEllipticalDistributionHessian right function=class=FunctionImplementation name=Unnamed description=[x0,x1,y0,y1] evaluationImplementation=class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Uniform name=Uniform dimension=1 a=0 b=1,class=Uniform name=Uniform dimension=1 a=0 b=1] output marginals=[class=Student name=Student dimension=1 nu=3 mean=class=Point name=Unnamed dimension=1 values=[1] 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],class=Student name=Student dimension=1 nu=3 mean=class=Point name=Unnamed dimension=1 values=[1] 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]] simplifications=[0,0] expressions=[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,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] gradientImplementation=class=MarginalTransformationGradient evaluation=class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Uniform name=Uniform dimension=1 a=0 b=1,class=Uniform name=Uniform dimension=1 a=0 b=1] output marginals=[class=Student name=Student dimension=1 nu=3 mean=class=Point name=Unnamed dimension=1 values=[1] 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],class=Student name=Student dimension=1 nu=3 mean=class=Point name=Unnamed dimension=1 values=[1] 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]] simplifications=[0,0] expressions=[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,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] hessianImplementation=class=MarginalTransformationHessian evaluation=class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Uniform name=Uniform dimension=1 a=0 b=1,class=Uniform name=Uniform dimension=1 a=0 b=1] output marginals=[class=Student name=Student dimension=1 nu=3 mean=class=Point name=Unnamed dimension=1 values=[1] 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],class=Student name=Student dimension=1 nu=3 mean=class=Point name=Unnamed dimension=1 values=[1] 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]] simplifications=[0,0] expressions=[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,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]
