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transformation= class=MarginalTransformationHessian evaluation=class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[1] sigma=class=Point name=Unnamed dimension=1 values=[2.5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Gamma name=Gamma dimension=1 k=1.5 lambda=3 gamma=0] output marginals=[class=Uniform name=Uniform dimension=1 a=0 b=1,class=Uniform name=Uniform dimension=1 a=0 b=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]
transformation.hessian( class=Point name=Unnamed dimension=2 values=[-0.6862,0.2021] )= class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[0.03429,0,0,0,0,0,0,-0.7559]
finite difference hessian( class=Point name=Unnamed dimension=2 values=[-0.6862,0.2021] )= class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[0.03429,0,0,0,0,0,0,-0.7559]
transformation.hessian( class=Point name=Unnamed dimension=2 values=[2.686,0.6847] )= class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[-0.03429,0,0,0,0,0,0,-1.412]
finite difference hessian( class=Point name=Unnamed dimension=2 values=[2.686,0.6847] )= class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[-0.03429,0,0,0,0,0,0,-1.412]
input dimension= 2
output dimension= 2
transformation= 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=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[1] sigma=class=Point name=Unnamed dimension=1 values=[2.5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Gamma name=Gamma dimension=1 k=1.5 lambda=3 gamma=0] 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]
transformation.hessian( class=Point name=Unnamed dimension=2 values=[0.25,0.25] )= class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[-16.7,0,0,0,0,0,0,0.2545]
finite difference hessian( class=Point name=Unnamed dimension=2 values=[0.25,0.25] )= class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[-16.7,0,0,0,0,0,0,0.2545]
transformation.hessian( class=Point name=Unnamed dimension=2 values=[0.75,0.75] )= class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[16.7,0,0,0,0,0,0,5.867]
finite difference hessian( class=Point name=Unnamed dimension=2 values=[0.75,0.75] )= class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[16.7,0,0,0,0,0,0,5.867]
input dimension= 2
output dimension= 2
transformation= class=MarginalTransformationHessian evaluation=class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[1] sigma=class=Point name=Unnamed dimension=1 values=[2.5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Gamma name=Gamma dimension=1 k=1.5 lambda=3 gamma=0] output marginals=[class=Gamma name=Gamma dimension=1 k=2.5 lambda=2 gamma=0,class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[3] 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]] 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]
transformation.hessian( class=Point name=Unnamed dimension=2 values=[-0.6862,0.2021] )= class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[0.0456,0,0,0,0,0,0,-24.27]
finite difference hessian( class=Point name=Unnamed dimension=2 values=[-0.6862,0.2021] )= class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[0.0456,0,0,0,0,0,0,-24.27]
transformation.hessian( class=Point name=Unnamed dimension=2 values=[2.686,0.6847] )= class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[0.05824,0,0,0,0,0,0,-2.788]
finite difference hessian( class=Point name=Unnamed dimension=2 values=[2.686,0.6847] )= class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=2 columns=2 sheets=2 values=[0.05824,0,0,0,0,0,0,-2.788]
input dimension= 2
output dimension= 2
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