File: t_LinearLeastSquaresCalibration_std.expout

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method= SVD
result= class=CalibrationResult parameter prior=class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[1,1,1] sigma=class=Point name=Unnamed dimension=3 values=[1.3408e+154,1.3408e+154,1.3408e+154] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0,0,0,1,0,0,0,1] parameter posterior=class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[5.2162,0.083787,0.99224] sigma=class=Point name=Unnamed dimension=3 values=[0.91358,0.0055681,0.00059162] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.38562,0.37151,-0.38562,1,-0.999,0.37151,-0.999,1] parameter MAP=class=Point name=Unnamed dimension=3 values=[5.2162,0.083787,0.99224] observations error=class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[0,0] sigma=class=Point name=Unnamed dimension=2 values=[3.3575,3.3575] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] output observation=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=10 dimension=2 description=[y0,y1] data=[[4.3712,2.47],[5.3185,2.7875],[6.8793,2.7879],[9.6878,2.8562],[14.226,2.83],[21.548,2.8065],[33.634,2.7312],[53.76,2.7919],[86.976,2.7903],[141.47,2.8201]] residual function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0,y1,y2,y3,y4,y5,y6,y7,y8,y9,y10,y11,y12,y13,y14,y15,y16,y17,y18,y19] evaluationImplementation=class=LinearEvaluation name=Unnamed center=class=Point name=Unnamed dimension=3 values=[1,1,1] constant=class=Point name=Unnamed dimension=20 values=[-1.7225,-1.47,0.1632,-1.7875,6.3032,-1.7879,24.428,-1.8562,76.791,-1.83,224.14,-1.8065,632.51,-1.7312,1755.3,-1.7919,4828.8,-1.7903,13219,-1.8201] linear=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=20 values=[1,1.6487,0.82436,0.2,0.8,-0.8,1,4.4817,6.7225,0.69231,0.30769,-0.30769,1,12.182,30.456,0.86207,0.13793,-0.13793,1,33.115,115.9,0.92453,0.075472,-0.075472,1,90.017,405.08,0.95294,0.047059,-0.047059,1,244.69,1345.8,0.968,0.032,-0.032,1,665.14,4323.4,0.97688,0.023121,-0.023121,1,1808,13560,0.98253,0.017467,-0.017467,1,4914.8,41776,0.98635,0.013652,-0.013652,1,13360,1.2692e+05,0.98904,0.010959,-0.010959] gradientImplementation=class=ConstantGradient name=Unnamed constant=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=20 values=[1,1.6487,0.82436,0.2,0.8,-0.8,1,4.4817,6.7225,0.69231,0.30769,-0.30769,1,12.182,30.456,0.86207,0.13793,-0.13793,1,33.115,115.9,0.92453,0.075472,-0.075472,1,90.017,405.08,0.95294,0.047059,-0.047059,1,244.69,1345.8,0.968,0.032,-0.032,1,665.14,4323.4,0.97688,0.023121,-0.023121,1,1808,13560,0.98253,0.017467,-0.017467,1,4914.8,41776,0.98635,0.013652,-0.013652,1,13360,1.2692e+05,0.98904,0.010959,-0.010959] hessianImplementation=class=NullHessian name=Unnamed inputDimension=3 outputDimension=20 bayesian=false priorColor_=#1f77b4 posteriorColor_=#ff7f0e observationColor_=#2ca02c
method= QR
result= class=CalibrationResult parameter prior=class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[1,1,1] sigma=class=Point name=Unnamed dimension=3 values=[1.3408e+154,1.3408e+154,1.3408e+154] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0,0,0,1,0,0,0,1] parameter posterior=class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[5.2162,0.083787,0.99224] sigma=class=Point name=Unnamed dimension=3 values=[0.91358,0.0055681,0.00059162] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.38562,0.37151,-0.38562,1,-0.999,0.37151,-0.999,1] parameter MAP=class=Point name=Unnamed dimension=3 values=[5.2162,0.083787,0.99224] observations error=class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[0,0] sigma=class=Point name=Unnamed dimension=2 values=[3.3575,3.3575] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] output observation=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=10 dimension=2 description=[y0,y1] data=[[4.3712,2.47],[5.3185,2.7875],[6.8793,2.7879],[9.6878,2.8562],[14.226,2.83],[21.548,2.8065],[33.634,2.7312],[53.76,2.7919],[86.976,2.7903],[141.47,2.8201]] residual function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0,y1,y2,y3,y4,y5,y6,y7,y8,y9,y10,y11,y12,y13,y14,y15,y16,y17,y18,y19] evaluationImplementation=class=LinearEvaluation name=Unnamed center=class=Point name=Unnamed dimension=3 values=[1,1,1] constant=class=Point name=Unnamed dimension=20 values=[-1.7225,-1.47,0.1632,-1.7875,6.3032,-1.7879,24.428,-1.8562,76.791,-1.83,224.14,-1.8065,632.51,-1.7312,1755.3,-1.7919,4828.8,-1.7903,13219,-1.8201] linear=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=20 values=[1,1.6487,0.82436,0.2,0.8,-0.8,1,4.4817,6.7225,0.69231,0.30769,-0.30769,1,12.182,30.456,0.86207,0.13793,-0.13793,1,33.115,115.9,0.92453,0.075472,-0.075472,1,90.017,405.08,0.95294,0.047059,-0.047059,1,244.69,1345.8,0.968,0.032,-0.032,1,665.14,4323.4,0.97688,0.023121,-0.023121,1,1808,13560,0.98253,0.017467,-0.017467,1,4914.8,41776,0.98635,0.013652,-0.013652,1,13360,1.2692e+05,0.98904,0.010959,-0.010959] gradientImplementation=class=ConstantGradient name=Unnamed constant=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=20 values=[1,1.6487,0.82436,0.2,0.8,-0.8,1,4.4817,6.7225,0.69231,0.30769,-0.30769,1,12.182,30.456,0.86207,0.13793,-0.13793,1,33.115,115.9,0.92453,0.075472,-0.075472,1,90.017,405.08,0.95294,0.047059,-0.047059,1,244.69,1345.8,0.968,0.032,-0.032,1,665.14,4323.4,0.97688,0.023121,-0.023121,1,1808,13560,0.98253,0.017467,-0.017467,1,4914.8,41776,0.98635,0.013652,-0.013652,1,13360,1.2692e+05,0.98904,0.010959,-0.010959] hessianImplementation=class=NullHessian name=Unnamed inputDimension=3 outputDimension=20 bayesian=false priorColor_=#1f77b4 posteriorColor_=#ff7f0e observationColor_=#2ca02c
method= Cholesky
result= class=CalibrationResult parameter prior=class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[1,1,1] sigma=class=Point name=Unnamed dimension=3 values=[1.3408e+154,1.3408e+154,1.3408e+154] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,0,0,0,1,0,0,0,1] parameter posterior=class=Normal name=Normal dimension=3 mean=class=Point name=Unnamed dimension=3 values=[5.2162,0.083787,0.99224] sigma=class=Point name=Unnamed dimension=3 values=[0.91358,0.0055681,0.00059162] correlationMatrix=class=CorrelationMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1,-0.38562,0.37151,-0.38562,1,-0.999,0.37151,-0.999,1] parameter MAP=class=Point name=Unnamed dimension=3 values=[5.2162,0.083787,0.99224] observations error=class=Normal name=Normal dimension=2 mean=class=Point name=Unnamed dimension=2 values=[0,0] sigma=class=Point name=Unnamed dimension=2 values=[3.3575,3.3575] correlationMatrix=class=CorrelationMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[1,0,0,1] output observation=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=10 dimension=2 description=[y0,y1] data=[[4.3712,2.47],[5.3185,2.7875],[6.8793,2.7879],[9.6878,2.8562],[14.226,2.83],[21.548,2.8065],[33.634,2.7312],[53.76,2.7919],[86.976,2.7903],[141.47,2.8201]] residual function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,y0,y1,y2,y3,y4,y5,y6,y7,y8,y9,y10,y11,y12,y13,y14,y15,y16,y17,y18,y19] evaluationImplementation=class=LinearEvaluation name=Unnamed center=class=Point name=Unnamed dimension=3 values=[1,1,1] constant=class=Point name=Unnamed dimension=20 values=[-1.7225,-1.47,0.1632,-1.7875,6.3032,-1.7879,24.428,-1.8562,76.791,-1.83,224.14,-1.8065,632.51,-1.7312,1755.3,-1.7919,4828.8,-1.7903,13219,-1.8201] linear=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=20 values=[1,1.6487,0.82436,0.2,0.8,-0.8,1,4.4817,6.7225,0.69231,0.30769,-0.30769,1,12.182,30.456,0.86207,0.13793,-0.13793,1,33.115,115.9,0.92453,0.075472,-0.075472,1,90.017,405.08,0.95294,0.047059,-0.047059,1,244.69,1345.8,0.968,0.032,-0.032,1,665.14,4323.4,0.97688,0.023121,-0.023121,1,1808,13560,0.98253,0.017467,-0.017467,1,4914.8,41776,0.98635,0.013652,-0.013652,1,13360,1.2692e+05,0.98904,0.010959,-0.010959] gradientImplementation=class=ConstantGradient name=Unnamed constant=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=20 values=[1,1.6487,0.82436,0.2,0.8,-0.8,1,4.4817,6.7225,0.69231,0.30769,-0.30769,1,12.182,30.456,0.86207,0.13793,-0.13793,1,33.115,115.9,0.92453,0.075472,-0.075472,1,90.017,405.08,0.95294,0.047059,-0.047059,1,244.69,1345.8,0.968,0.032,-0.032,1,665.14,4323.4,0.97688,0.023121,-0.023121,1,1808,13560,0.98253,0.017467,-0.017467,1,4914.8,41776,0.98635,0.013652,-0.013652,1,13360,1.2692e+05,0.98904,0.010959,-0.010959] hessianImplementation=class=NullHessian name=Unnamed inputDimension=3 outputDimension=20 bayesian=false priorColor_=#1f77b4 posteriorColor_=#ff7f0e observationColor_=#2ca02c