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sample first= class=NumericalPoint name=Unnamed dimension=2 values=[0.88963,0.64148] last= class=NumericalPoint name=Unnamed dimension=2 values=[-0.637014,0.629913]
sample mean= class=NumericalPoint name=Unnamed dimension=2 values=[0.5097,1.00099]
sample covariance= class=CovarianceMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.762895,-0.0052843,-0.0052843,0.516961]
isoprobabilistic transformation= class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[x0,x1,y0,y1] evaluationImplementation=class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Uniform name=Uniform dimension=1 a=-1 b=2,class=Gamma name=Gamma dimension=1 k=2 lambda=2 gamma=0] output marginals=[class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]] simplifications=[0,0] expressions=[class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed,class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed] gradientImplementation=class=MarginalTransformationGradient evaluation=class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Uniform name=Uniform dimension=1 a=-1 b=2,class=Gamma name=Gamma dimension=1 k=2 lambda=2 gamma=0] output marginals=[class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]] simplifications=[0,0] expressions=[class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed,class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed] hessianImplementation=class=MarginalTransformationHessian evaluation=class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Uniform name=Uniform dimension=1 a=-1 b=2,class=Gamma name=Gamma dimension=1 k=2 lambda=2 gamma=0] output marginals=[class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]] simplifications=[0,0] expressions=[class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed,class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed]
transformed sample first= class=NumericalPoint name=Unnamed dimension=2 values=[0.331526,-0.33947] last= class=NumericalPoint name=Unnamed dimension=2 values=[-1.17003,-0.361455]
transformed sample mean= class=NumericalPoint name=Unnamed dimension=2 values=[0.0107197,-0.00573321]
transformed sample covariance= class=CovarianceMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1.01651,-0.00878902,-0.00878902,1.0289]
inverse isoprobabilistic transformation= class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[x0,x1,y0,y1] evaluationImplementation=class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]] output marginals=[class=Uniform name=Uniform dimension=1 a=-1 b=2,class=Gamma name=Gamma dimension=1 k=2 lambda=2 gamma=0] simplifications=[0,0] expressions=[class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed,class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed] gradientImplementation=class=MarginalTransformationGradient evaluation=class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]] output marginals=[class=Uniform name=Uniform dimension=1 a=-1 b=2,class=Gamma name=Gamma dimension=1 k=2 lambda=2 gamma=0] simplifications=[0,0] expressions=[class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed,class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed] hessianImplementation=class=MarginalTransformationHessian evaluation=class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Normal name=Normal dimension=1 mean=class=NumericalPoint name=Unnamed dimension=1 values=[0] sigma=class=NumericalPoint name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]] output marginals=[class=Uniform name=Uniform dimension=1 a=-1 b=2,class=Gamma name=Gamma dimension=1 k=2 lambda=2 gamma=0] simplifications=[0,0] expressions=[class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed,class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed]
transformed back sample first= class=NumericalPoint name=Unnamed dimension=2 values=[0.88963,0.64148] last= class=NumericalPoint name=Unnamed dimension=2 values=[-0.637014,0.629913]
transformed back sample mean= class=NumericalPoint name=Unnamed dimension=2 values=[0.5097,1.00099]
transformed back sample covariance= class=CovarianceMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.762895,-0.0052843,-0.0052843,0.516961]
point= class=NumericalPoint name=Unnamed dimension=2 values=[1,1]
transform value at point = class=NumericalPoint name=Unnamed dimension=2 values=[0.430727,0.237832]
transform gradient at point = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.916759,0,0,1.39587]
transform gradient at point (FD)= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.916759,0,0,1.39587]
transform hessian at point = class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[0.362,0,0,0,0,0,0,-0.9325]
transform hessian at point (FD) = class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[0.362,0,0,0,0,0,0,-0.9325]
inverse transform value at transformed point = class=NumericalPoint name=Unnamed dimension=2 values=[1,1]
inverse transform gradient at transformed point = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1.0908,0,0,0.716401]
inverse transform gradient at transformed point (FD)= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1.0908,0,0,0.716401]
inverse transform hessian at transformed point = class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[-0.4698,0,0,0,0,0,0,0.3428]
inverse transform hessian at transformed point (FD) = class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[-0.4698,0,0,0,0,0,0,0.3428]
parameters gradient at point= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=2 values=[-0.305586,-0.611173,0,0,0,0,0,-0.758101,0.697933,-1.39587]
parameters gradient (FD) = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=2 values=[-0.305586,-0.611173,0,0,0,0,0,-0.758101,0.697933,-1.39587]
(inverse) parameters gradient at point= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=2 values=[0.158655,0.841345,0,0,0,0,0,0.690599,-0.824882,1]
(inverse) parameters gradient (FD) = class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=2 values=[0.158655,0.841345,0,0,0,0,0,0.690599,-0.824882,1]
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