/dports/math/openturns/openturns-1.18/lib/test/ |
H A D | t_NormalCopulaFactory_std.expout | 1 Distribution =class=NormalCopula name=NormalCopula dimension=3 correlation=class=Correlati… 2 Estimated distribution=class=NormalCopula name=NormalCopula dimension=3 correlation=class=Correlati… 3 Default distribution=class=NormalCopula name=NormalCopula dimension=2 correlation=class=Correlation… 4 NormalCopula =class=NormalCopula name=NormalCopula dimension=3 correlation=class=Correlati… 5 Estimated normalCopula=class=NormalCopula name=NormalCopula dimension=3 correlation=class=Correlati… 6 Default normalCopula=class=NormalCopula name=NormalCopula dimension=2 correlation=class=Correlation…
|
H A D | t_IsoProbabilisticTransformation_EllipticalCopula.cxx | 70 ComposedDistribution distribution(aCollection, NormalCopula(RCopula)); in main() 120 …IsoProbabilisticTransformation left(ComposedDistribution(coll, NormalCopula(RCopula)).getIsoProbab… in main() 122 …IsoProbabilisticTransformation right(ComposedDistribution(coll, NormalCopula(RCopula)).getIsoProba… in main() 131 …IsoProbabilisticTransformation left(ComposedDistribution(coll, NormalCopula(RCopula)).getIsoProbab… in main() 133 …IsoProbabilisticTransformation right(ComposedDistribution(coll, NormalCopula(RCopula)).getIsoProba… in main() 142 …IsoProbabilisticTransformation left(ComposedDistribution(coll, NormalCopula(RCopula)).getIsoProbab… in main() 144 …IsoProbabilisticTransformation right(ComposedDistribution(coll, NormalCopula(RCopula)).getIsoProba… in main() 153 …IsoProbabilisticTransformation left(ComposedDistribution(coll, NormalCopula(RCopula)).getIsoProbab… in main() 155 …IsoProbabilisticTransformation right(ComposedDistribution(coll, NormalCopula(RCopula)).getIsoProba… in main() 164 …IsoProbabilisticTransformation left(ComposedDistribution(coll, NormalCopula(RCopula)).getIsoProbab… in main() [all …]
|
H A D | t_SoizeGhanemFactory_std.expout | 20 …mposedDistribution(Normal(mu = 0, sigma = 1), Uniform(a = -1, b = 1), NormalCopula(R = [[ 1 0.5 ] 23 …mposedDistribution(Normal(mu = 0, sigma = 1), Uniform(a = -1, b = 1), NormalCopula(R = [[ 1 0.5 ] 26 …mposedDistribution(Normal(mu = 0, sigma = 1), Uniform(a = -1, b = 1), NormalCopula(R = [[ 1 0.5 ] 29 …mposedDistribution(Normal(mu = 0, sigma = 1), Uniform(a = -1, b = 1), NormalCopula(R = [[ 1 0.5 ] 32 …mposedDistribution(Normal(mu = 0, sigma = 1), Uniform(a = -1, b = 1), NormalCopula(R = [[ 1 0.5 ] 42 …NormalCopula name=NormalCopula dimension=2 correlation=class=CorrelationMatrix dimension=2 impleme… 43 SoizeGhanem(0)=(1) * (([X0,X1]->1/sqrt(NormalCopula(R = [[ 1 0.5 ] 46 SoizeGhanem(1)=(x0) * (([X0,X1]->1/sqrt(NormalCopula(R = [[ 1 0.5 ] 49 SoizeGhanem(2)=(1.73205 * x1) * (([X0,X1]->1/sqrt(NormalCopula(R = [[ 1 0.5 ] 52 SoizeGhanem(3)=(-0.707107 + 0.707107 * x0^2) * (([X0,X1]->1/sqrt(NormalCopula(R = [[ 1 0.5 ] [all …]
|
H A D | t_OrdinalSumCopula_std.expout | 1 …kCopula name=FrankCopula dimension=2 theta=3 copula[1]=class=NormalCopula name=NormalCopula dimens… 2 Copula OrdinalSumCopula([0, 0.2], FrankCopula(theta = 3), [0.2, 0.7], NormalCopula(R = [[ 1 0.5 ] 24 …uation(OrdinalSumCopula([0, 0.2], FrankCopula(theta = 3), [0.2, 0.7], NormalCopula(R = [[ 1 0.5 ] 25 …adient(OrdinalSumCopula([0, 0.2], FrankCopula(theta = 3), [0.2, 0.7], NormalCopula(R = [[ 1 0.5 ] 26 …uation(OrdinalSumCopula([0, 0.2], FrankCopula(theta = 3), [0.2, 0.7], NormalCopula(R = [[ 1 0.5 ]
|
H A D | t_NormalCopula_std.expout | 1 Copula class=NormalCopula name=a normal copula dimension=3 correlation=class=CorrelationMatrix dime… 2 Copula NormalCopula(R = [[ 1 0.25 0 ] 48 margins=class=NormalCopula name=NormalCopula dimension=2 correlation=class=CorrelationMatrix dimens…
|
H A D | t_NormalCopulaFactory_std.cxx | 44 NormalCopula distribution(R); in main() 56 NormalCopula estimatedNormalCopula(factory.buildAsNormalCopula(sample)); in main()
|
H A D | t_ANCOVA_std.cxx | 67 CorrelationMatrix R(NormalCopula::GetCorrelationFromSpearmanCorrelation(S)); in main() 68 NormalCopula myCopula(R); in main()
|
/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Distribution/ |
H A D | NormalCopula.cxx | 40 CLASSNAMEINIT(NormalCopula) 45 NormalCopula::NormalCopula(const UnsignedInteger dim) in NormalCopula() function in NormalCopula 58 NormalCopula::NormalCopula(const CorrelationMatrix & correlation) in NormalCopula() function in NormalCopula 71 Bool NormalCopula::operator ==(const NormalCopula & other) const in operator ==() 79 const NormalCopula* p_other = dynamic_cast<const NormalCopula*>(&other); in equals() 84 String NormalCopula::__repr__() const in __repr__() 102 NormalCopula * NormalCopula::clone() const in clone() 104 return new NormalCopula(*this); in clone() 551 return new NormalCopula(R); in getMarginal() 555 NormalCopula::IsoProbabilisticTransformation NormalCopula::getIsoProbabilisticTransformation() const in getIsoProbabilisticTransformation() [all …]
|
H A D | NormalCopulaFactory.cxx | 61 NormalCopula NormalCopulaFactory::buildAsNormalCopula(const Sample & sample) const in buildAsNormalCopula() 67 R = NormalCopula::GetCorrelationFromKendallCorrelation(sample.computeKendallTau()); in buildAsNormalCopula() 74 R = NormalCopula::GetCorrelationFromSpearmanCorrelation(sample.computeSpearmanCorrelation()); in buildAsNormalCopula() 81 NormalCopula result(R); in buildAsNormalCopula() 86 NormalCopula NormalCopulaFactory::buildAsNormalCopula(const Point & parameters) const in buildAsNormalCopula() 90 NormalCopula copula; in buildAsNormalCopula() 100 NormalCopula NormalCopulaFactory::buildAsNormalCopula() const in buildAsNormalCopula() 102 return NormalCopula(); in buildAsNormalCopula()
|
/dports/math/openturns/openturns-1.18/python/test/ |
H A D | t_IsoProbabilisticTransformation_EllipticalCopula.py | 41 distribution = ComposedDistribution(aCollection, NormalCopula(RCopula)) 105 coll, NormalCopula(RCopula)).getIsoProbabilisticTransformation() 108 coll, NormalCopula(RCopula)).getIsoProbabilisticTransformation() 117 coll, NormalCopula(RCopula)).getIsoProbabilisticTransformation() 120 coll, NormalCopula(RCopula)).getIsoProbabilisticTransformation() 129 coll, NormalCopula(RCopula)).getIsoProbabilisticTransformation() 132 coll, NormalCopula(RCopula)).getIsoProbabilisticTransformation() 141 coll, NormalCopula(RCopula)).getIsoProbabilisticTransformation() 144 coll, NormalCopula(RCopula)).getIsoProbabilisticTransformation() 153 coll, NormalCopula(RCopula)).getIsoProbabilisticTransformation() [all …]
|
H A D | t_NormalCopulaFactory_std.expout | 1 distribution= NormalCopula(R = [[ 1 0.333333 0.5 ] 4 Estimated distribution= NormalCopula(R = [[ 1 0.313268 0.490701 ] 7 Default distribution= NormalCopula(R = [[ 1 0 ] 9 NormalCopula = NormalCopula(R = [[ 1 0.333333 0.5 ] 12 Estimated normalCopula= NormalCopula(R = [[ 1 0.313268 0.490701 ] 15 Default normalCopula= NormalCopula(R = [[ 1 0 ]
|
H A D | t_SoizeGhanemFactory_std.expout | 20 …mposedDistribution(Normal(mu = 0, sigma = 1), Uniform(a = -1, b = 1), NormalCopula(R = [[ 1 0.5 ] 23 …mposedDistribution(Normal(mu = 0, sigma = 1), Uniform(a = -1, b = 1), NormalCopula(R = [[ 1 0.5 ] 26 …mposedDistribution(Normal(mu = 0, sigma = 1), Uniform(a = -1, b = 1), NormalCopula(R = [[ 1 0.5 ] 29 …mposedDistribution(Normal(mu = 0, sigma = 1), Uniform(a = -1, b = 1), NormalCopula(R = [[ 1 0.5 ] 32 …mposedDistribution(Normal(mu = 0, sigma = 1), Uniform(a = -1, b = 1), NormalCopula(R = [[ 1 0.5 ] 42 …NormalCopula name=NormalCopula dimension=2 correlation=class=CorrelationMatrix dimension=2 impleme… 43 SoizeGhanem( 0 )= (1) * (([X0,X1]->1/sqrt(NormalCopula(R = [[ 1 0.5 ] 46 SoizeGhanem( 1 )= (x0) * (([X0,X1]->1/sqrt(NormalCopula(R = [[ 1 0.5 ] 49 SoizeGhanem( 2 )= (1.73205 * x1) * (([X0,X1]->1/sqrt(NormalCopula(R = [[ 1 0.5 ] 52 SoizeGhanem( 3 )= (-0.707107 + 0.707107 * x0^2) * (([X0,X1]->1/sqrt(NormalCopula(R = [[ 1 0.5 ] [all …]
|
H A D | t_NormalCopula_std.expout | 1 Copula class=NormalCopula name=NormalCopula dimension=3 correlation=class=CorrelationMatrix dimens… 2 Copula NormalCopula(R = [[ 1 0.25 0 ] 11 oneSample= class=Sample name=NormalCopula implementation=class=SampleImplementation name=NormalCopu… 54 margins= class=NormalCopula name=NormalCopula dimension=2 correlation=class=CorrelationMatrix dimen…
|
H A D | t_NormalCopula_std.py | 17 copula = NormalCopula(R) 137 correlation = NormalCopula.GetCorrelationFromSpearmanCorrelation(spearman) 143 copula = NormalCopula( 144 NormalCopula.GetCorrelationFromSpearmanCorrelation(spearman_corr)) 149 print(NormalCopula(1).getParametersCollection())
|
H A D | t_ComposedCopula_std.expout | 1 …kCopula name=FrankCopula dimension=2 theta=3 copula[1]=class=NormalCopula name=NormalCopula dimens… 2 Copula ComposedCopula(FrankCopula(theta = 3), NormalCopula(R = [[ 1 0.5 0.25 ] 64 …entCopula name=IndependentCopula dimension=1 copula[1]=class=NormalCopula name=NormalCopula dimens… 103 ComposedCopula(NormalCopula(R = [[ 1 0 ]
|
H A D | t_OrdinalSumCopula_std.expout | 1 Copula OrdinalSumCopula([0, 0.2], FrankCopula(theta = 3), [0.2, 0.7], NormalCopula(R = [[ 1 0.5 ] 26 …uation(OrdinalSumCopula([0, 0.2], FrankCopula(theta = 3), [0.2, 0.7], NormalCopula(R = [[ 1 0.5 ]
|
H A D | t_ComposedCopula_std.py | 14 collection = [FrankCopula(3.0), NormalCopula(R), ClaytonCopula(2.0)] 169 collection[2] = NormalCopula(CorrelationMatrix(2)) 209 copula = ComposedCopula([IndependentCopula(2), NormalCopula(2)])
|
H A D | t_BlockIndependentDistribution_std.py | 25 copulaCollection = [ot.NormalCopula(R0), 26 ot.NormalCopula(R1), 27 ot.NormalCopula(R2)]
|
/dports/math/openturns/openturns-1.18/python/src/ |
H A D | NormalCopula.i | 9 %include openturns/NormalCopula.hxx 10 namespace OT { %extend NormalCopula { NormalCopula(const NormalCopula & other) { return new OT::Nor… in NormalCopula() function
|
H A D | NormalCopula_doc.i.in | 1 %feature("docstring") OT::NormalCopula 5 NormalCopula(*n=1*) 7 NormalCopula(*R*) 83 >>> copula = ot.NormalCopula(R) 91 %feature("docstring") OT::NormalCopula::GetCorrelationFromKendallCorrelation 107 %feature("docstring") OT::NormalCopula::GetCorrelationFromSpearmanCorrelation
|
/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Distribution/openturns/ |
H A D | NormalCopula.hxx | 37 class OT_API NormalCopula class 45 explicit NormalCopula(const UnsignedInteger dim = 2); 48 explicit NormalCopula(const CorrelationMatrix & correlation); 52 Bool operator ==(const NormalCopula & other) const; 64 NormalCopula * clone() const override;
|
H A D | NormalCopulaFactory.hxx | 51 NormalCopula buildAsNormalCopula(const Sample & sample) const; 52 NormalCopula buildAsNormalCopula(const Point & parameters) const; 53 NormalCopula buildAsNormalCopula() const;
|
/dports/math/openturns/openturns-1.18/python/src/usecases/ |
H A D | cantilever_beam.py | 84 self.copula = ot.NormalCopula( 85 ot.NormalCopula.GetCorrelationFromSpearmanCorrelation(self.R))
|
/dports/math/openturns/openturns-1.18/python/doc/examples/reliability_sensitivity/sensitivity_analysis/ |
H A D | plot_sensitivity_ancova.py | 50 R = ot.NormalCopula.GetCorrelationFromSpearmanCorrelation(S) 51 copula = ot.NormalCopula(R)
|
/dports/math/openturns/openturns-1.18/python/doc/_templates/ |
H A D | Copula.rst_t | 18 elif ot.{{ objname }}().__class__.__name__ == 'NormalCopula': 21 copula = ot.NormalCopula(R)
|