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ratioOfU is initialized? True
ratioOfU is initialized? True
Multistarts= [class=MultiStart class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[1e-05] evaluation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0] upper bound=class=Point name=Unnamed dimension=1 values=[1] finite lower bound=[1] finite upper bound=[1] minimization=false dimension=1 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumCallsNumber=16000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 solver=class=OptimizationAlgorithm implementation=class=Cobyla class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[1e-05] evaluation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0] upper bound=class=Point name=Unnamed dimension=1 values=[1] finite lower bound=[1] finite upper bound=[1] minimization=false dimension=1 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumCallsNumber=1000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 rhoBeg=0.1 startingSample=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=16 dimension=1 data=[[0.5],[0.75],[0.25],[0.375],[0.875],[0.625],[0.125],[0.1875],[0.6875],[0.9375],[0.4375],[0.3125],[0.8125],[0.5625],[0.0625],[0.09375]] keepResults=true,class=MultiStart class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[1e-05] evaluation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0] upper bound=class=Point name=Unnamed dimension=1 values=[1] finite lower bound=[1] finite upper bound=[1] minimization=false dimension=1 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumCallsNumber=16000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 solver=class=OptimizationAlgorithm implementation=class=Cobyla class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,y0] evaluationImplementation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[1e-05] evaluation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=1 values=[0.0001] evaluation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=1 lower bound=class=Point name=Unnamed dimension=1 values=[0] upper bound=class=Point name=Unnamed dimension=1 values=[1] finite lower bound=[1] finite upper bound=[1] minimization=false dimension=1 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumCallsNumber=1000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 rhoBeg=0.1 startingSample=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=16 dimension=1 data=[[0.59375],[0.84375],[0.34375],[0.46875],[0.96875],[0.71875],[0.21875],[0.15625],[0.65625],[0.90625],[0.40625],[0.28125],[0.78125],[0.53125],[0.03125],[0.046875]] keepResults=true]
Candidate number= 10
Algo optim= class=OptimizationAlgorithm implementation=class=TNC class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=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 equality constraint=none inequality constraint=none bounds=none minimization=true dimension=0 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumCallsNumber=1000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 scale=class=Point name=Unnamed dimension=0 values=[] offset=class=Point name=Unnamed dimension=0 values=[] maxCGit=50 eta=0.25 stepmx=10 accuracy=0.0001 fmin=1 rescale=1.3
distribution = class=Normal name=Normal dimension=4 mean=class=Point name=Unnamed dimension=4 values=[0,0,0,0] sigma=class=Point name=Unnamed dimension=4 values=[1,1,1,1] correlationMatrix=class=CorrelationMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[1,0.5,0.2,0.1,0.5,1,0.5,0.2,0.2,0.5,1,0.5,0.1,0.2,0.5,1]
ratioOfU= class=RatioOfUniforms name=Unnamed logUnscaledPDF=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[X0,X1,X2,X3,logpdf] evaluationImplementation=LogPDFWrapper(Normal(mu = [0,0,0,0], sigma = [1,1,1,1], R = [[ 1 0.5 0.2 0.1 ]
[ 0.5 1 0.5 0.2 ]
[ 0.2 0.5 1 0.5 ]
[ 0.1 0.2 0.5 1 ]])) gradientImplementation=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=4 values=[1e-05,1e-05,1e-05,1e-05] evaluation=LogPDFWrapper(Normal(mu = [0,0,0,0], sigma = [1,1,1,1], R = [[ 1 0.5 0.2 0.1 ]
[ 0.5 1 0.5 0.2 ]
[ 0.2 0.5 1 0.5 ]
[ 0.1 0.2 0.5 1 ]])) hessianImplementation=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=4 values=[0.0001,0.0001,0.0001,0.0001] evaluation=LogPDFWrapper(Normal(mu = [0,0,0,0], sigma = [1,1,1,1], R = [[ 1 0.5 0.2 0.1 ]
[ 0.5 1 0.5 0.2 ]
[ 0.2 0.5 1 0.5 ]
[ 0.1 0.2 0.5 1 ]])) range=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-7.65063,-7.65063,-7.65063,-7.65063] upper bound=class=Point name=Unnamed dimension=4 values=[7.65063,7.65063,7.65063,7.65063] finite lower bound=[0,0,0,0] finite upper bound=[0,0,0,0] r=1 supU=0.523181 infV=class=Point name=Unnamed dimension=4 values=[-0.709561,-0.709561,-0.709561,-0.709561] supV=class=Point name=Unnamed dimension=4 values=[0.709561,0.709561,0.709561,0.709561] acceptanceRatio=0.0942538 optimizationAlgorithm=class=OptimizationAlgorithm implementation=class=Cobyla class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,y3] evaluationImplementation=class=MarginalEvaluation evaluation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] indices=[3] gradientImplementation=class=MarginalGradient gradient=class=CenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=4 values=[1e-05,1e-05,1e-05,1e-05] evaluation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] indices=[3] hessianImplementation=class=MarginalHessian hessian=class=CenteredFiniteDifferenceHessian name=Unnamed epsilon=class=Point name=Unnamed dimension=4 values=[0.0001,0.0001,0.0001,0.0001] evaluation=class=EvaluationImplementation name=Unnamed input description=[] output description=[] parameters=class=PointWithDescription name=Unnamed dimension=0 description=[] values=[] indices=[3] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-7.65063,-7.65063,-7.65063,-7.65063] upper bound=class=Point name=Unnamed dimension=4 values=[0,0,0,0] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=0 values=[] maximumIterationNumber=100 maximumCallsNumber=1000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 rhoBeg=0.1
ratioOfU= RatioOfUniforms(logUnscaledPDF=LogPDFWrapper(Normal(mu = [0,0,0,0], sigma = [1,1,1,1], R = [[ 1 0.5 0.2 0.1 ]
[ 0.5 1 0.5 0.2 ]
[ 0.2 0.5 1 0.5 ]
[ 0.1 0.2 0.5 1 ]])), range=]-inf (-7.65063), (7.65063) +inf[
]-inf (-7.65063), (7.65063) +inf[
]-inf (-7.65063), (7.65063) +inf[
]-inf (-7.65063), (7.65063) +inf[, r=1, supU=0.523181, infV=[-0.709561,-0.709561,-0.709561,-0.709561], supV=[0.709561,0.709561,0.709561,0.709561], acceptanceRatio=0.0942538 optimizationAlgorithm=Cobyla)
ratioOfU is initialized? True
r= 1.0
Acceptance ratio=0.09425
c= 1.0
r= 2.0
Acceptance ratio=0.06465
c= 1.0
One realization [-0.588123,-0.636501,1.19637,1.93374]
One sample 0 : [ -0.0601621 -0.185189 -2.28824 -0.910075 ]
1 : [ -0.130233 2.1058 0.871878 1.63878 ]
2 : [ 0.0100133 -0.821482 0.5082 0.229224 ]
3 : [ -2.20706 -1.47725 1.1304 0.588855 ]
4 : [ -1.47071 0.34816 -0.0397492 0.673431 ]
5 : [ 0.640214 -1.50096 -0.830516 -0.975641 ]
6 : [ 0.227756 0.800323 0.572136 0.306782 ]
7 : [ 0.412335 0.409066 -0.0560516 0.615448 ]
8 : [ 0.660019 0.632373 0.951425 0.052296 ]
9 : [ -0.385597 -0.682215 0.155138 -0.229989 ]
One sample with try number 0 : [ -0.703821 -0.794671 0.295356 0.755643 ]
1 : [ 0.177343 0.579004 0.860457 -0.00295863 ]
2 : [ -1.61731 -1.28272 -0.363597 0.930375 ]
3 : [ -2.24658 -1.16999 -1.37807 -0.951413 ]
4 : [ -0.942133 -1.51323 0.513517 1.07995 ]
5 : [ 0.14742 0.377013 -0.567231 -0.592244 ]
6 : [ 0.0562343 -1.48938 -0.510881 0.35627 ]
7 : [ -0.536042 -0.602108 -1.20526 -0.352789 ]
8 : [ -0.498157 1.79631 1.42017 0.537112 ]
9 : [ 0.0573852 1.12289 0.313506 -1.02026 ] try number= 101
Acceptance ratio=0.2496
c= 2.0035
ratioOfU= RatioOfUniforms(logUnscaledPDF=LogPDFWrapper(Triangular(a = 0, m = 1, b = 1)), range=[0, 1], r=1, supU=1.41421, infV=[0], supV=[1.41421], acceptanceRatio=0.25 optimizationAlgorithm=Cobyla)
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