myDefautModel = class=SquaredExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1]
myModel = class=SquaredExponential scale=class=Point name=Unnamed dimension=2 values=[1,1] amplitude=class=Point name=Unnamed dimension=1 values=[1]
myModel(class=Point name=Unnamed dimension=2 values=[4,-4], class=Point name=Unnamed dimension=2 values=[-3,-1])=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[2.54e-13]
dCov =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[-1.78e-12,7.63e-13]
dCov (FD)=class=Point name=Unnamed dimension=2 values=[-1.78e-12,7.63e-13]
myDefautModel = class=GeneralizedExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1] p=1
myModel = class=GeneralizedExponential scale=class=Point name=Unnamed dimension=2 values=[10,10] amplitude=class=Point name=Unnamed dimension=1 values=[1] p=1.5
myModel(class=Point name=Unnamed dimension=2 values=[4,-4], class=Point name=Unnamed dimension=2 values=[-3,-1])=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.514]
dCov =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[-0.0619,0.0265]
dCov (FD)=class=Point name=Unnamed dimension=2 values=[-0.0619,0.0265]
myDefautModel = class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1]
myModel = class=AbsoluteExponential scale=class=Point name=Unnamed dimension=2 values=[10,10] amplitude=class=Point name=Unnamed dimension=1 values=[1]
myModel(class=Point name=Unnamed dimension=2 values=[4,-4], class=Point name=Unnamed dimension=2 values=[-3,-1])=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.368]
dCov =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[-0.0368,0.0368]
dCov (FD)=class=Point name=Unnamed dimension=2 values=[-0.0368,0.0368]
myDefautModel = class=MaternModel scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=class=Point name=Unnamed dimension=1 values=[1] nu=1.5
myModel = class=MaternModel scale=class=Point name=Unnamed dimension=2 values=[8,8] amplitude=class=Point name=Unnamed dimension=1 values=[1] nu=2
myModel(class=Point name=Unnamed dimension=2 values=[4,-4], class=Point name=Unnamed dimension=2 values=[-3,-1])=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.535]
dCov =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[-0.0661,0.0283]
dCov (FD)=class=Point name=Unnamed dimension=2 values=[-0.0661,0.0283]
myModel = class=ProductCovarianceModel input dimension=2 models=[class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[3] amplitude=class=Point name=Unnamed dimension=1 values=[1],class=SquaredExponential scale=class=Point name=Unnamed dimension=1 values=[2] amplitude=class=Point name=Unnamed dimension=1 values=[1]]
Validation of myModel(x_1, x_2) - myAbsoluteExponential(x_1) * mySquaredExponential(x_2) = class=SquareMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0]
myModel = class=ProductCovarianceModel input dimension=2 models=[class=AbsoluteExponential scale=class=Point name=Unnamed dimension=1 values=[3] amplitude=class=Point name=Unnamed dimension=1 values=[1],class=SquaredExponential scale=class=Point name=Unnamed dimension=1 values=[2] amplitude=class=Point name=Unnamed dimension=1 values=[1]]
myModel(class=Point name=Unnamed dimension=2 values=[4,-4], class=Point name=Unnamed dimension=2 values=[-3,-1])=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[0.0315]
dCov =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[-0.0105,0.0236]
dCov (FD)=class=Point name=Unnamed dimension=2 values=[-0.0105,0.0236]
myModel = class=TensorizedCovarianceModel input dimension=2, dimension = 4, models=[class=AbsoluteExponential scale=class=Point name=Unnamed dimension=2 values=[3,3] amplitude=class=Point name=Unnamed dimension=1 values=[1],class=SquaredExponential scale=class=Point name=Unnamed dimension=2 values=[2,2] amplitude=class=Point name=Unnamed dimension=1 values=[1],class=ExponentialModel scale=class=Point name=Unnamed dimension=2 values=[1,1] amplitude=class=Point name=Unnamed dimension=2 values=[4,2] spatial correlation=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0.3,0.3,1] isDiagonal=false]
myModel(class=Point name=Unnamed dimension=2 values=[4,-4], class=Point name=Unnamed dimension=2 values=[-3,-1])=class=CovarianceMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[0.0357,0,0,0,0,0.00071,0,0,0,0,0.00788,0.00118,0,0,0.00118,0.00197]
dCov =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=16 values=[-0.0119,0.0119,0,0,0,0,0,0,0,0,-0.00124,0.000533,0,0,0,0,0,0,0,0,-0.00724,0.0031,-0.00109,0.000466,0,0,0,0,-0.00109,0.000466,-0.00181,0.000776]
dCov (FD)=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=16 values=[-0.0119,0.0119,0,0,0,0,0,0,0,0,-0.00124,0.000533,0,0,0,0,0,0,0,0,-0.00724,0.00311,-0.00109,0.000466,0,0,0,0,-0.00109,0.000466,-0.00181,0.000776]
myModel = class=TensorizedCovarianceModel input dimension=2, dimension = 4, models=[class=AbsoluteExponential scale=class=Point name=Unnamed dimension=2 values=[2.5,1.5] amplitude=class=Point name=Unnamed dimension=1 values=[1],class=SquaredExponential scale=class=Point name=Unnamed dimension=2 values=[1.67,1] amplitude=class=Point name=Unnamed dimension=1 values=[1],class=ExponentialModel scale=class=Point name=Unnamed dimension=2 values=[0.833,0.5] amplitude=class=Point name=Unnamed dimension=2 values=[4,2] spatial correlation=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0.3,0.3,1] isDiagonal=false]
myModel(class=Point name=Unnamed dimension=2 values=[4,-4], class=Point name=Unnamed dimension=2 values=[-3,-1])=class=CovarianceMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[0.00823,0,0,0,0,1.64e-06,0,0,0,0,0.000526,7.89e-05,0,0,7.89e-05,0.000132]
dCov =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=16 values=[-0.00329,0.00549,0,0,0,0,0,0,0,0,-4.14e-06,4.92e-06,0,0,0,0,0,0,0,0,-0.000514,0.000611,-7.7e-05,9.17e-05,0,0,0,0,-7.7e-05,9.17e-05,-0.000128,0.000153]
dCov (FD)=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=16 values=[-0.00329,0.00549,0,0,0,0,0,0,0,0,-4.13e-06,4.93e-06,0,0,0,0,0,0,0,0,-0.000513,0.000612,-7.7e-05,9.18e-05,0,0,0,0,-7.7e-05,9.18e-05,-0.000128,0.000153]
