/dports/math/openturns/openturns-1.18/python/doc/examples/reliability_sensitivity/sensitivity_analysis/ |
H A D | plot_sensitivity_sobol.py | 102 inputDesign = sie.generate() variable 104 inputDesign.setDescription(input_names) 105 inputDesign.getSize() 114 outputDesign = im.model(inputDesign) 121 inputDesign, outputDesign, size) 153 inputDesign = sie.generate() variable 154 print(inputDesign.getSize()) 155 inputDesign.setDescription(input_names) 156 outputDesign = im.model(inputDesign) 163 inputDesign, outputDesign, size) [all …]
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H A D | plot_sensitivity_sobol_multivariate.py | 47 inputDesign = sie.generate() variable 49 inputDesign.setDescription(input_names) 50 print("Sample size: ", inputDesign.getSize()) 57 outputDesign = function(inputDesign) 64 inputDesign, outputDesign, size)
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/dports/math/openturns/openturns-1.18/python/doc/examples/data_analysis/manage_data_and_samples/ |
H A D | plot_sample_correlation.py | 34 inputDesign = ot.SobolIndicesExperiment( variable 36 outputDesign = im.model(inputDesign) 44 pcc_indices = ot.CorrelationAnalysis.PCC(inputDesign, outputDesign) 61 prcc_indices = ot.CorrelationAnalysis.PRCC(inputDesign, outputDesign) 75 src_indices = ot.CorrelationAnalysis.SRC(inputDesign, outputDesign) 87 scale_src_indices = ot.CorrelationAnalysis.SRC(inputDesign, outputDesign, True) 103 inputDesign, outputDesign) 123 srrc_indices = ot.CorrelationAnalysis.SRRC(inputDesign, outputDesign) 138 inputDesign, outputDesign) 154 inputDesign, outputDesign)
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/dports/math/openturns/openturns-1.18/validation/src/sobol_estimator_variance/ |
H A D | sobol_variance_estimators.py | 36 def __init__(self, inputDesign, outputDesign, N): argument 40 self.inputDesign = inputDesign 41 self.input_dim = inputDesign.getDimension() 140 def __init__(self, inputDesign, outputDesign, N): argument 144 self.inputDesign = inputDesign 145 self.input_dim = inputDesign.getDimension() 220 def __init__(self, inputDesign, outputDesign, N): argument 224 self.inputDesign = inputDesign 225 self.input_dim = inputDesign.getDimension() 304 self.inputDesign = inputDesign [all …]
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H A D | convergence_variance_old.py | 40 inputDesign = sobolexperiment.generate() 41 outputDesign = model(inputDesign) 42 sensitivity_algorithm = sobol_estimator(inputDesign, outputDesign, int(ref_sampleSize)) 56 inputDesign = sobolexperiment.generate() 57 outputDesign = model(inputDesign) 58 sensitivity_algorithm = sobol_estimator(inputDesign, outputDesign, int(sampleSize))
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H A D | convergence_variance.py | 33 inputDesign = sobolexperiment.generate() 34 outputDesign = model(inputDesign) 35 sensitivity_algorithm = sobol_estimator(inputDesign, outputDesign, int(sampleSize))
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/dports/math/openturns/openturns-1.18/python/src/ |
H A D | JansenSensitivityAlgorithm_doc.i.in | 5 JansenSensitivityAlgorithm(*inputDesign, outputDesign, N*) 13 inputDesign : :class:`~openturns.Sample` 19 of a Function (model) on the previous inputDesign 40 The class constructor ``JansenSensitivityAlgorithm(inputDesign, outputDesign, N)`` 41 requires a specific structure for the ``outputDesign``, and therefore for the ``inputDesign``. 74 >>> inputDesign = ot.SobolIndicesExperiment(distribution, size).generate() 75 >>> outputDesign = model(inputDesign) 77 >>> sensitivityAnalysis = ot.JansenSensitivityAlgorithm(inputDesign, outputDesign, size)
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H A D | MauntzKucherenkoSensitivityAlgorithm_doc.i.in | 5 MauntzKucherenkoSensitivityAlgorithm(*inputDesign, outputDesign, N*) 13 inputDesign : :class:`~openturns.Sample` 19 of a Function (model) on the previous inputDesign 40 The class constructor ``MauntzKucherenkoSensitivityAlgorithm(inputDesign, outputDesign, N)`` 41 requires a specific structure for the ``outputDesign``, and therefore for the ``inputDesign``. 74 >>> inputDesign = ot.SobolIndicesExperiment(distribution, size).generate() 75 >>> outputDesign = model(inputDesign) 77 >>> sensitivityAnalysis = ot.MauntzKucherenkoSensitivityAlgorithm(inputDesign, outputDesign, size)
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H A D | MartinezSensitivityAlgorithm_doc.i.in | 5 MartinezSensitivityAlgorithm(*inputDesign, outputDesign, N*) 13 inputDesign : :class:`~openturns.Sample` 19 of a Function (model) on the previous inputDesign 40 The class constructor ``MartinezSensitivityAlgorithm(inputDesign, outputDesign, N)`` 41 requires a specific structure for the ``outputDesign``, and therefore for the ``inputDesign``. 82 >>> inputDesign = ot.SobolIndicesExperiment(distribution, size).generate() 83 >>> outputDesign = model(inputDesign) 85 >>> sensitivityAnalysis = ot.MartinezSensitivityAlgorithm(inputDesign, outputDesign, size)
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H A D | SaltelliSensitivityAlgorithm_doc.i.in | 5 SaltelliSensitivityAlgorithm(*inputDesign, outputDesign, N*) 13 inputDesign : :class:`~openturns.Sample` 19 of a Function (model) on the previous inputDesign 40 The class constructor ``SaltelliSensitivityAlgorithm(inputDesign, outputDesign, N)`` 41 requires a specific structure for the ``outputDesign``, and therefore for the ``inputDesign`` . 74 >>> inputDesign = ot.SobolIndicesExperiment(distribution, size).generate() 75 >>> outputDesign = model(inputDesign) 77 >>> sensitivityAnalysis = ot.SaltelliSensitivityAlgorithm(inputDesign, outputDesign, size)
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/dports/math/openturns/openturns-1.18/lib/test/ |
H A D | t_SobolIndicesAlgorithm_std.cxx | 71 const Sample inputDesign(sobolExperiment.generate()); in main() local 72 const Sample outputDesign(model(inputDesign)); in main() 75 SaltelliSensitivityAlgorithm sensitivitySobol(inputDesign, outputDesign, size); in main() 98 JansenSensitivityAlgorithm sensitivitySobol(inputDesign, outputDesign, size); in main() 120 MauntzKucherenkoSensitivityAlgorithm sensitivitySobol(inputDesign, outputDesign, size); in main() 142 MartinezSensitivityAlgorithm sensitivitySobol(inputDesign, outputDesign, size); in main()
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/dports/math/openturns/openturns-1.18/python/doc/pyplots/ |
H A D | SaltelliSensitivityAlgorithm.py | 33 inputDesign = ot.SobolIndicesExperiment(inputX, size, computeSO).generate() variable 34 outputDesign = myFunction(inputDesign) 36 inputDesign, outputDesign, size)
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H A D | JansenSensitivityAlgorithm.py | 33 inputDesign = ot.SobolIndicesExperiment(inputX, size, computeSO).generate() variable 34 outputDesign = myFunction(inputDesign) 36 inputDesign, outputDesign, size)
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H A D | MartinezSensitivityAlgorithm.py | 33 inputDesign = ot.SobolIndicesExperiment(inputX, size, computeSO).generate() variable 34 outputDesign = myFunction(inputDesign) 36 inputDesign, outputDesign, size)
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H A D | MauntzKucherenkoSensitivityAlgorithm.py | 33 inputDesign = ot.SobolIndicesExperiment(inputX, size, computeSO).generate() variable 34 outputDesign = myFunction(inputDesign) 36 inputDesign, outputDesign, size)
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H A D | SobolIndicesAlgorithm.py | 33 inputDesign = ot.SobolIndicesExperiment(inputX, size, computeSO).generate() variable 34 outputDesign = myFunction(inputDesign) 36 inputDesign, outputDesign, size)
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/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Algorithm/Sensitivity/ |
H A D | SobolIndicesAlgorithm.cxx | 55 SobolIndicesAlgorithm::SobolIndicesAlgorithm(const Sample & inputDesign, in SobolIndicesAlgorithm() argument 58 …<SobolIndicesAlgorithmImplementation>(new MartinezSensitivityAlgorithm(inputDesign, outputDesign, … in SobolIndicesAlgorithm() 195 void SobolIndicesAlgorithm::setDesign(const Sample & inputDesign, in setDesign() argument 200 getImplementation()->setDesign(inputDesign, outputDesign, size); in setDesign()
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H A D | SobolIndicesAlgorithmImplementation.cxx | 62 setDesign(inputDesign, outputDesign, size); in SobolIndicesAlgorithmImplementation() 93 const Sample inputDesign(sobolExperiment.generate()); in SobolIndicesAlgorithmImplementation() local 94 Sample outputDesign(model(inputDesign)); in SobolIndicesAlgorithmImplementation() 96 setDesign(inputDesign, outputDesign, size); in SobolIndicesAlgorithmImplementation() 121 const Sample inputDesign(sobolExperiment.generate()); in SobolIndicesAlgorithmImplementation() local 122 const Sample outputDesign(model(inputDesign)); in SobolIndicesAlgorithmImplementation() 124 setDesign(inputDesign, outputDesign, experiment.getSize()); in SobolIndicesAlgorithmImplementation() 854 void SobolIndicesAlgorithmImplementation::setDesign(const Sample & inputDesign, in setDesign() argument 862 const UnsignedInteger inputDimension = inputDesign.getDimension(); in setDesign() 866 if (inputDesign.getSize() != outputDesign.getSize()) in setDesign() [all …]
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H A D | SaltelliSensitivityAlgorithm.cxx | 40 SaltelliSensitivityAlgorithm::SaltelliSensitivityAlgorithm(const Sample & inputDesign, in SaltelliSensitivityAlgorithm() argument 43 : SobolIndicesAlgorithmImplementation(inputDesign, outputDesign, size) in SaltelliSensitivityAlgorithm()
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H A D | JansenSensitivityAlgorithm.cxx | 40 JansenSensitivityAlgorithm::JansenSensitivityAlgorithm(const Sample & inputDesign, in JansenSensitivityAlgorithm() argument 43 : SobolIndicesAlgorithmImplementation(inputDesign, outputDesign, size) in JansenSensitivityAlgorithm()
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H A D | MauntzKucherenkoSensitivityAlgorithm.cxx | 40 …ntzKucherenkoSensitivityAlgorithm::MauntzKucherenkoSensitivityAlgorithm(const Sample & inputDesign, in MauntzKucherenkoSensitivityAlgorithm() argument 43 : SobolIndicesAlgorithmImplementation(inputDesign, outputDesign, size) in MauntzKucherenkoSensitivityAlgorithm()
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/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Algorithm/Sensitivity/openturns/ |
H A D | SobolIndicesAlgorithm.hxx | 56 SobolIndicesAlgorithm(const Sample & inputDesign, 135 void setDesign(const Sample & inputDesign,
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H A D | SobolIndicesAlgorithmImplementation.hxx | 51 SobolIndicesAlgorithmImplementation(const Sample & inputDesign, 144 void setDesign(const Sample & inputDesign,
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H A D | JansenSensitivityAlgorithm.hxx | 46 JansenSensitivityAlgorithm(const Sample & inputDesign,
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/dports/math/openturns/openturns-1.18/python/test/ |
H A D | t_SobolIndicesAlgorithm_std.py | 85 inputDesign = ot.SobolIndicesExperiment( variable 87 outputDesign = model_aggregated(inputDesign)
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