sample first=class=Point name=Unnamed dimension=3 values=[1.7164,-2.87731,-0.0888678] last=class=Point name=Unnamed dimension=3 values=[-0.227791,-2.59096,1.4601]
sample mean=class=Point name=Unnamed dimension=3 values=[0.476599,-0.538382,0.997853]
sample covariance=class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[3.93982,2.85907,-0.0162011,2.85907,8.94638,1.48782,-0.0162011,1.48782,1.00509]
isoprobabilistic transformation=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0,y1,y2] evaluationImplementation=class=NatafEllipticalDistributionEvaluation mean=class=Point name=Unnamed dimension=3 values=[0.5,-0.5,1] inverseCholesky=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[0.5,-0.288675,0.204124,0,0.3849,-0.272166,0,0,1.22474] gradientImplementation=class=NatafEllipticalDistributionGradient inverseCholesky=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[0.5,-0.288675,0.204124,0,0.3849,-0.272166,0,0,1.22474] hessianImplementation=class=NatafEllipticalDistributionHessian
transformed sample first=class=Point name=Unnamed dimension=3 values=[0.608202,-1.26617,-0.438266] last=class=Point name=Unnamed dimension=3 values=[-0.363896,-0.594717,0.984039]
transformed sample mean=class=Point name=Unnamed dimension=3 values=[-0.0117004,-0.00801788,0.0030405]
transformed sample covariance=class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[0.984954,-0.0184348,0.00311426,-0.0184348,1.01836,-0.0129937,0.00311426,-0.0129937,1.01684]
inverse isoprobabilistic transformation=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0,y1,y2] evaluationImplementation=class=InverseNatafEllipticalDistributionEvaluation mean=class=Point name=Unnamed dimension=3 values=[0,0,0] cholesky=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[2,1.5,0,0,2.59808,0.57735,0,0,0.816497] gradientImplementation=class=InverseNatafEllipticalDistributionGradient cholesky=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[2,1.5,0,0,2.59808,0.57735,0,0,0.816497] hessianImplementation=class=InverseNatafEllipticalDistributionHessian
transformed back sample first=class=Point name=Unnamed dimension=3 values=[1.7164,-2.87731,-0.0888678] last=class=Point name=Unnamed dimension=3 values=[-0.227791,-2.59096,1.4601]
transformed back sample mean=class=Point name=Unnamed dimension=3 values=[0.476599,-0.538382,0.997853]
transformed back sample covariance=class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[3.93982,2.85907,-0.0162011,2.85907,8.94638,1.48782,-0.0162011,1.48782,1.00509]
point=class=Point name=Unnamed dimension=3 values=[1,1,1]
transform value at point        =class=Point name=Unnamed dimension=3 values=[0.25,0.433013,-0.306186]
transform gradient at point     =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[0.5,0,0,-0.288675,0.3849,0,0.204124,-0.272166,1.22474]
transform gradient at point (FD)=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[0.5,0,0,-0.288675,0.3849,0,0.204124,-0.272166,1.22474]
transform hessian at point      =class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=3 values=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
transform hessian at point (FD) =class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=3 values=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
inverse transform value at transformed point        =class=Point name=Unnamed dimension=3 values=[1,1,1]
inverse transform gradient at transformed point (FD)=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[2,0,0,1.5,2.59808,0,0,0.57735,0.816497]
inverse transform gradient at transformed point     =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[2,0,0,1.5,2.59808,0,0,0.57735,0.816497]
inverse transform hessian at transformed point      =class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=3 values=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
inverse transform hessian at transformed point (FD) =class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=3 values=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
parameters gradient at point=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=6 columns=3 values=[-0.5,0,0,-0.125,0,0,0.288675,-0.3849,0,0,-0.222222,0,-0.204124,0.272166,-1.22474,0,0,0]
