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/dports/math/openturns/openturns-1.18/python/doc/examples/reliability_sensitivity/sensitivity_analysis/
H A Dplot_sensitivity_sobol.py102 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 …]
H A Dplot_sensitivity_sobol_multivariate.py47 inputDesign = sie.generate() variable
49 inputDesign.setDescription(input_names)
50 print("Sample size: ", inputDesign.getSize())
57 outputDesign = function(inputDesign)
64 inputDesign, outputDesign, size)
/dports/math/openturns/openturns-1.18/python/doc/examples/data_analysis/manage_data_and_samples/
H A Dplot_sample_correlation.py34 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)
/dports/math/openturns/openturns-1.18/validation/src/sobol_estimator_variance/
H A Dsobol_variance_estimators.py36 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 …]
H A Dconvergence_variance_old.py40 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))
H A Dconvergence_variance.py33 inputDesign = sobolexperiment.generate()
34 outputDesign = model(inputDesign)
35 sensitivity_algorithm = sobol_estimator(inputDesign, outputDesign, int(sampleSize))
/dports/math/openturns/openturns-1.18/python/src/
H A DJansenSensitivityAlgorithm_doc.i.in5 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)
H A DMauntzKucherenkoSensitivityAlgorithm_doc.i.in5 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)
H A DMartinezSensitivityAlgorithm_doc.i.in5 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)
H A DSaltelliSensitivityAlgorithm_doc.i.in5 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)
/dports/math/openturns/openturns-1.18/lib/test/
H A Dt_SobolIndicesAlgorithm_std.cxx71 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()
/dports/math/openturns/openturns-1.18/python/doc/pyplots/
H A DSaltelliSensitivityAlgorithm.py33 inputDesign = ot.SobolIndicesExperiment(inputX, size, computeSO).generate() variable
34 outputDesign = myFunction(inputDesign)
36 inputDesign, outputDesign, size)
H A DJansenSensitivityAlgorithm.py33 inputDesign = ot.SobolIndicesExperiment(inputX, size, computeSO).generate() variable
34 outputDesign = myFunction(inputDesign)
36 inputDesign, outputDesign, size)
H A DMartinezSensitivityAlgorithm.py33 inputDesign = ot.SobolIndicesExperiment(inputX, size, computeSO).generate() variable
34 outputDesign = myFunction(inputDesign)
36 inputDesign, outputDesign, size)
H A DMauntzKucherenkoSensitivityAlgorithm.py33 inputDesign = ot.SobolIndicesExperiment(inputX, size, computeSO).generate() variable
34 outputDesign = myFunction(inputDesign)
36 inputDesign, outputDesign, size)
H A DSobolIndicesAlgorithm.py33 inputDesign = ot.SobolIndicesExperiment(inputX, size, computeSO).generate() variable
34 outputDesign = myFunction(inputDesign)
36 inputDesign, outputDesign, size)
/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Algorithm/Sensitivity/
H A DSobolIndicesAlgorithm.cxx55 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()
H A DSobolIndicesAlgorithmImplementation.cxx62 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 …]
H A DSaltelliSensitivityAlgorithm.cxx40 SaltelliSensitivityAlgorithm::SaltelliSensitivityAlgorithm(const Sample & inputDesign, in SaltelliSensitivityAlgorithm() argument
43 : SobolIndicesAlgorithmImplementation(inputDesign, outputDesign, size) in SaltelliSensitivityAlgorithm()
H A DJansenSensitivityAlgorithm.cxx40 JansenSensitivityAlgorithm::JansenSensitivityAlgorithm(const Sample & inputDesign, in JansenSensitivityAlgorithm() argument
43 : SobolIndicesAlgorithmImplementation(inputDesign, outputDesign, size) in JansenSensitivityAlgorithm()
H A DMauntzKucherenkoSensitivityAlgorithm.cxx40 …ntzKucherenkoSensitivityAlgorithm::MauntzKucherenkoSensitivityAlgorithm(const Sample & inputDesign, in MauntzKucherenkoSensitivityAlgorithm() argument
43 : SobolIndicesAlgorithmImplementation(inputDesign, outputDesign, size) in MauntzKucherenkoSensitivityAlgorithm()
/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Algorithm/Sensitivity/openturns/
H A DSobolIndicesAlgorithm.hxx56 SobolIndicesAlgorithm(const Sample & inputDesign,
135 void setDesign(const Sample & inputDesign,
H A DSobolIndicesAlgorithmImplementation.hxx51 SobolIndicesAlgorithmImplementation(const Sample & inputDesign,
144 void setDesign(const Sample & inputDesign,
H A DJansenSensitivityAlgorithm.hxx46 JansenSensitivityAlgorithm(const Sample & inputDesign,
/dports/math/openturns/openturns-1.18/python/test/
H A Dt_SobolIndicesAlgorithm_std.py85 inputDesign = ot.SobolIndicesExperiment( variable
87 outputDesign = model_aggregated(inputDesign)

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