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b/openturns/master/_images/sphx_glr_plot_pce_design_thumb.png differ diff --git a/openturns/master/_sources/auto_calibration/bayesian_calibration/plot_gibbs.rst.txt b/openturns/master/_sources/auto_calibration/bayesian_calibration/plot_gibbs.rst.txt index 16f6ce112cb..5829708ad1a 100644 --- a/openturns/master/_sources/auto_calibration/bayesian_calibration/plot_gibbs.rst.txt +++ b/openturns/master/_sources/auto_calibration/bayesian_calibration/plot_gibbs.rst.txt @@ -283,7 +283,7 @@ Let us plot the posterior density. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 12.204 seconds) + **Total running time of the script:** (0 minutes 14.478 seconds) .. _sphx_glr_download_auto_calibration_bayesian_calibration_plot_gibbs.py: diff --git a/openturns/master/_sources/auto_calibration/bayesian_calibration/plot_rwmh_python_distribution.rst.txt b/openturns/master/_sources/auto_calibration/bayesian_calibration/plot_rwmh_python_distribution.rst.txt index 7e40b22f47d..a06e53b0e04 100644 --- a/openturns/master/_sources/auto_calibration/bayesian_calibration/plot_rwmh_python_distribution.rst.txt +++ b/openturns/master/_sources/auto_calibration/bayesian_calibration/plot_rwmh_python_distribution.rst.txt @@ -427,7 +427,7 @@ Plot posterior marginal plots only as prior cannot be drawn meaningfully. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 5.437 seconds) + **Total running time of the script:** (0 minutes 6.231 seconds) .. _sphx_glr_download_auto_calibration_bayesian_calibration_plot_rwmh_python_distribution.py: diff --git a/openturns/master/_sources/auto_calibration/bayesian_calibration/sg_execution_times.rst.txt b/openturns/master/_sources/auto_calibration/bayesian_calibration/sg_execution_times.rst.txt index 234ac7d25aa..4d4bb7b7ac5 100644 --- a/openturns/master/_sources/auto_calibration/bayesian_calibration/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_calibration/bayesian_calibration/sg_execution_times.rst.txt @@ -6,20 +6,20 @@ Computation times ================= -**00:22.181** total execution time for **auto_calibration_bayesian_calibration** files: +**00:25.935** total execution time for **auto_calibration_bayesian_calibration** files: +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_gibbs.py` (``plot_gibbs.py``) | 00:12.204 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_gibbs.py` (``plot_gibbs.py``) | 00:14.478 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_rwmh_python_distribution.py` (``plot_rwmh_python_distribution.py``) | 00:05.437 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_rwmh_python_distribution.py` (``plot_rwmh_python_distribution.py``) | 00:06.231 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_bayesian_calibration_flooding.py` (``plot_bayesian_calibration_flooding.py``) | 00:01.205 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_bayesian_calibration_flooding.py` (``plot_bayesian_calibration_flooding.py``) | 00:01.462 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_bayesian_calibration.py` (``plot_bayesian_calibration.py``) | 00:01.115 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_bayesian_calibration.py` (``plot_bayesian_calibration.py``) | 00:01.235 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_gibbs_simus.py` (``plot_gibbs_simus.py``) | 00:01.071 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_gibbs_simus.py` (``plot_gibbs_simus.py``) | 00:01.147 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_ackley_distribution.py` (``plot_ackley_distribution.py``) | 00:00.876 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_ackley_distribution.py` (``plot_ackley_distribution.py``) | 00:01.015 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_imh_python_distribution.py` (``plot_imh_python_distribution.py``) | 00:00.274 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_bayesian_calibration_plot_imh_python_distribution.py` (``plot_imh_python_distribution.py``) | 00:00.368 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_chaboche.rst.txt b/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_chaboche.rst.txt index 2a2bddb31cd..48998027eaa 100644 --- a/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_chaboche.rst.txt +++ b/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_chaboche.rst.txt @@ -1928,7 +1928,7 @@ Reset default settings .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 6.276 seconds) + **Total running time of the script:** (0 minutes 7.753 seconds) .. _sphx_glr_download_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_chaboche.py: diff --git a/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_deflection_tube.rst.txt b/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_deflection_tube.rst.txt index 50f9a676c16..6acb5cb908c 100644 --- a/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_deflection_tube.rst.txt +++ b/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_deflection_tube.rst.txt @@ -896,7 +896,7 @@ Reset default settings .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 3.344 seconds) + **Total running time of the script:** (0 minutes 4.014 seconds) .. _sphx_glr_download_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_deflection_tube.py: diff --git a/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_flooding.rst.txt b/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_flooding.rst.txt index 94c8d685b8d..30608e106dc 100644 --- a/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_flooding.rst.txt +++ b/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_flooding.rst.txt @@ -1696,7 +1696,7 @@ Reset default settings .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 8.313 seconds) + **Total running time of the script:** (0 minutes 9.603 seconds) .. _sphx_glr_download_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_flooding.py: diff --git a/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/sg_execution_times.rst.txt b/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/sg_execution_times.rst.txt index 21f45b1944e..488d280e69a 100644 --- a/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_calibration/least_squares_and_gaussian_calibration/sg_execution_times.rst.txt @@ -6,22 +6,22 @@ Computation times ================= -**00:19.067** total execution time for **auto_calibration_least_squares_and_gaussian_calibration** files: +**00:22.700** total execution time for **auto_calibration_least_squares_and_gaussian_calibration** files: +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_flooding.py` (``plot_calibration_flooding.py``) | 00:08.313 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_flooding.py` (``plot_calibration_flooding.py``) | 00:09.603 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_chaboche.py` (``plot_calibration_chaboche.py``) | 00:06.276 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_chaboche.py` (``plot_calibration_chaboche.py``) | 00:07.753 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_deflection_tube.py` (``plot_calibration_deflection_tube.py``) | 00:03.344 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_deflection_tube.py` (``plot_calibration_deflection_tube.py``) | 00:04.014 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_logistic.py` (``plot_calibration_logistic.py``) | 00:00.625 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_logistic.py` (``plot_calibration_logistic.py``) | 00:00.689 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_quickstart.py` (``plot_calibration_quickstart.py``) | 00:00.288 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_quickstart.py` (``plot_calibration_quickstart.py``) | 00:00.396 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_withoutobservedinputs.py` (``plot_calibration_withoutobservedinputs.py``) | 00:00.081 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_calibration_withoutobservedinputs.py` (``plot_calibration_withoutobservedinputs.py``) | 00:00.089 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_generate_chaboche.py` (``plot_generate_chaboche.py``) | 00:00.072 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_generate_chaboche.py` (``plot_generate_chaboche.py``) | 00:00.086 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_generate_flooding.py` (``plot_generate_flooding.py``) | 00:00.067 | 0.0 MB | +| :ref:`sphx_glr_auto_calibration_least_squares_and_gaussian_calibration_plot_generate_flooding.py` (``plot_generate_flooding.py``) | 00:00.071 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_fremantle.rst.txt b/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_fremantle.rst.txt index 48e26c67332..b4f05748237 100644 --- a/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_fremantle.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_fremantle.rst.txt @@ -1061,7 +1061,7 @@ improvements with respect to model tested before. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 5.571 seconds) + **Total running time of the script:** (0 minutes 5.151 seconds) .. _sphx_glr_download_auto_data_analysis_distribution_fitting_plot_estimate_gev_fremantle.py: diff --git a/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_pirie.rst.txt b/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_pirie.rst.txt index 7d07db24d8a..66a5c8d404d 100644 --- a/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_pirie.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_pirie.rst.txt @@ -945,11 +945,6 @@ the threshold :math:`c_{\alpha}` or if the p-value is less than the Type I error -.. rst-class:: sphx-glr-timing - - **Total running time of the script:** (0 minutes 2.004 seconds) - - .. _sphx_glr_download_auto_data_analysis_distribution_fitting_plot_estimate_gev_pirie.py: .. only:: html diff --git a/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_racetime.rst.txt b/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_racetime.rst.txt index 05b67e02361..64d436167b9 100644 --- a/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_racetime.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_gev_racetime.rst.txt @@ -1108,7 +1108,7 @@ quadratic model explains even better a large variation in the data. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 10.524 seconds) + **Total running time of the script:** (0 minutes 9.613 seconds) .. _sphx_glr_download_auto_data_analysis_distribution_fitting_plot_estimate_gev_racetime.py: diff --git a/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_multivariate_distribution.rst.txt b/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_multivariate_distribution.rst.txt index bdfe8157580..79952fea407 100644 --- a/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_multivariate_distribution.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/distribution_fitting/plot_estimate_multivariate_distribution.rst.txt @@ -403,7 +403,7 @@ We build joint distribution from marginal distributions and dependency structure .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 6.454 seconds) + **Total running time of the script:** (0 minutes 5.917 seconds) .. _sphx_glr_download_auto_data_analysis_distribution_fitting_plot_estimate_multivariate_distribution.py: diff --git a/openturns/master/_sources/auto_data_analysis/distribution_fitting/sg_execution_times.rst.txt b/openturns/master/_sources/auto_data_analysis/distribution_fitting/sg_execution_times.rst.txt index 1c8333c925f..feaf0d45b20 100644 --- a/openturns/master/_sources/auto_data_analysis/distribution_fitting/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/distribution_fitting/sg_execution_times.rst.txt @@ -6,36 +6,36 @@ Computation times ================= -**00:31.103** total execution time for **auto_data_analysis_distribution_fitting** files: +**00:28.564** total execution time for **auto_data_analysis_distribution_fitting** files: +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_gev_racetime.py` (``plot_estimate_gev_racetime.py``) | 00:10.524 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_gev_racetime.py` (``plot_estimate_gev_racetime.py``) | 00:09.613 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_multivariate_distribution.py` (``plot_estimate_multivariate_distribution.py``) | 00:06.454 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_multivariate_distribution.py` (``plot_estimate_multivariate_distribution.py``) | 00:05.917 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_gev_fremantle.py` (``plot_estimate_gev_fremantle.py``) | 00:05.571 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_gev_fremantle.py` (``plot_estimate_gev_fremantle.py``) | 00:05.151 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_gev_pirie.py` (``plot_estimate_gev_pirie.py``) | 00:02.004 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_gev_pirie.py` (``plot_estimate_gev_pirie.py``) | 00:01.790 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_conditional_quantile.py` (``plot_estimate_conditional_quantile.py``) | 00:01.609 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_conditional_quantile.py` (``plot_estimate_conditional_quantile.py``) | 00:01.535 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_non_parametric_distribution.py` (``plot_estimate_non_parametric_distribution.py``) | 00:01.038 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_non_parametric_distribution.py` (``plot_estimate_non_parametric_distribution.py``) | 00:00.978 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_gev_venice.py` (``plot_estimate_gev_venice.py``) | 00:00.686 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_gev_venice.py` (``plot_estimate_gev_venice.py``) | 00:00.667 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_asymptotic_estimators_distribution.py` (``plot_asymptotic_estimators_distribution.py``) | 00:00.677 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_asymptotic_estimators_distribution.py` (``plot_asymptotic_estimators_distribution.py``) | 00:00.590 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_smoothing_mixture.py` (``plot_smoothing_mixture.py``) | 00:00.609 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_smoothing_mixture.py` (``plot_smoothing_mixture.py``) | 00:00.554 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_model_singular_multivariate_distribution.py` (``plot_model_singular_multivariate_distribution.py``) | 00:00.601 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_advanced_mle_estimator.py` (``plot_advanced_mle_estimator.py``) | 00:00.533 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_advanced_mle_estimator.py` (``plot_advanced_mle_estimator.py``) | 00:00.560 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_model_singular_multivariate_distribution.py` (``plot_model_singular_multivariate_distribution.py``) | 00:00.528 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_fit_extreme_value_distribution.py` (``plot_fit_extreme_value_distribution.py``) | 00:00.367 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_fit_extreme_value_distribution.py` (``plot_fit_extreme_value_distribution.py``) | 00:00.343 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_normal.py` (``plot_estimate_normal.py``) | 00:00.262 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_estimate_normal.py` (``plot_estimate_normal.py``) | 00:00.231 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_quantilematching_estimator.py` (``plot_quantilematching_estimator.py``) | 00:00.136 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_quantilematching_estimator.py` (``plot_quantilematching_estimator.py``) | 00:00.130 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_data_analysis_distribution_fitting_plot_maximumlikelihood_estimator.py` (``plot_maximumlikelihood_estimator.py``) | 00:00.004 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_data_analysis/estimate_dependency_and_copulas/sg_execution_times.rst.txt b/openturns/master/_sources/auto_data_analysis/estimate_dependency_and_copulas/sg_execution_times.rst.txt index a4e8332bb27..a17db3600c7 100644 --- a/openturns/master/_sources/auto_data_analysis/estimate_dependency_and_copulas/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/estimate_dependency_and_copulas/sg_execution_times.rst.txt @@ -6,14 +6,14 @@ Computation times ================= -**00:01.055** total execution time for **auto_data_analysis_estimate_dependency_and_copulas** files: +**00:00.886** total execution time for **auto_data_analysis_estimate_dependency_and_copulas** files: +--------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_estimate_dependency_and_copulas_plot_estimate_non_parametric_copula.py` (``plot_estimate_non_parametric_copula.py``) | 00:00.395 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_estimate_dependency_and_copulas_plot_estimate_non_parametric_copula.py` (``plot_estimate_non_parametric_copula.py``) | 00:00.339 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_estimate_dependency_and_copulas_plot_estimate_dependence_wavesurge.py` (``plot_estimate_dependence_wavesurge.py``) | 00:00.271 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_estimate_dependency_and_copulas_plot_estimate_dependence_wavesurge.py` (``plot_estimate_dependence_wavesurge.py``) | 00:00.225 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_estimate_dependency_and_copulas_plot_estimate_dependence_wind.py` (``plot_estimate_dependence_wind.py``) | 00:00.230 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_estimate_dependency_and_copulas_plot_estimate_dependence_wind.py` (``plot_estimate_dependence_wind.py``) | 00:00.206 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_estimate_dependency_and_copulas_plot_estimate_copula.py` (``plot_estimate_copula.py``) | 00:00.159 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_estimate_dependency_and_copulas_plot_estimate_copula.py` (``plot_estimate_copula.py``) | 00:00.116 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_data_analysis/estimate_stochastic_processes/plot_estimate_multivariate_arma.rst.txt b/openturns/master/_sources/auto_data_analysis/estimate_stochastic_processes/plot_estimate_multivariate_arma.rst.txt index d89e78ead5c..9dd7fee4e48 100644 --- a/openturns/master/_sources/auto_data_analysis/estimate_stochastic_processes/plot_estimate_multivariate_arma.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/estimate_stochastic_processes/plot_estimate_multivariate_arma.rst.txt @@ -161,7 +161,7 @@ Estimate the process from the previous realization .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 4.516 seconds) + **Total running time of the script:** (0 minutes 3.967 seconds) .. _sphx_glr_download_auto_data_analysis_estimate_stochastic_processes_plot_estimate_multivariate_arma.py: diff --git a/openturns/master/_sources/auto_data_analysis/estimate_stochastic_processes/sg_execution_times.rst.txt b/openturns/master/_sources/auto_data_analysis/estimate_stochastic_processes/sg_execution_times.rst.txt index 40ce951138c..02774ec0417 100644 --- a/openturns/master/_sources/auto_data_analysis/estimate_stochastic_processes/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/estimate_stochastic_processes/sg_execution_times.rst.txt @@ -6,16 +6,16 @@ Computation times ================= -**00:07.679** total execution time for **auto_data_analysis_estimate_stochastic_processes** files: +**00:06.661** total execution time for **auto_data_analysis_estimate_stochastic_processes** files: +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_estimate_stochastic_processes_plot_estimate_multivariate_arma.py` (``plot_estimate_multivariate_arma.py``) | 00:04.516 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_estimate_stochastic_processes_plot_estimate_multivariate_arma.py` (``plot_estimate_multivariate_arma.py``) | 00:03.967 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_estimate_stochastic_processes_plot_estimate_spectral_density_function.py` (``plot_estimate_spectral_density_function.py``) | 00:01.454 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_estimate_stochastic_processes_plot_estimate_spectral_density_function.py` (``plot_estimate_spectral_density_function.py``) | 00:01.257 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_estimate_stochastic_processes_plot_estimate_arma.py` (``plot_estimate_arma.py``) | 00:00.962 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_estimate_stochastic_processes_plot_estimate_arma.py` (``plot_estimate_arma.py``) | 00:00.783 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_estimate_stochastic_processes_plot_estimate_stationary_covariance_model.py` (``plot_estimate_stationary_covariance_model.py``) | 00:00.453 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_estimate_stochastic_processes_plot_estimate_stationary_covariance_model.py` (``plot_estimate_stationary_covariance_model.py``) | 00:00.408 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_estimate_stochastic_processes_plot_estimate_non_stationary_covariance_model.py` (``plot_estimate_non_stationary_covariance_model.py``) | 00:00.294 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_estimate_stochastic_processes_plot_estimate_non_stationary_covariance_model.py` (``plot_estimate_non_stationary_covariance_model.py``) | 00:00.246 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_data_analysis/graphics/plot_sensitivity_par_coo_ishigami.rst.txt b/openturns/master/_sources/auto_data_analysis/graphics/plot_sensitivity_par_coo_ishigami.rst.txt index ed397cc266a..07b401a3bed 100644 --- a/openturns/master/_sources/auto_data_analysis/graphics/plot_sensitivity_par_coo_ishigami.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/graphics/plot_sensitivity_par_coo_ishigami.rst.txt @@ -381,7 +381,7 @@ Display figures .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 3.315 seconds) + **Total running time of the script:** (0 minutes 2.864 seconds) .. _sphx_glr_download_auto_data_analysis_graphics_plot_sensitivity_par_coo_ishigami.py: diff --git a/openturns/master/_sources/auto_data_analysis/graphics/sg_execution_times.rst.txt b/openturns/master/_sources/auto_data_analysis/graphics/sg_execution_times.rst.txt index 5bb70161009..76c54724d1f 100644 --- a/openturns/master/_sources/auto_data_analysis/graphics/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/graphics/sg_execution_times.rst.txt @@ -6,12 +6,12 @@ Computation times ================= -**00:03.777** total execution time for **auto_data_analysis_graphics** files: +**00:03.260** total execution time for **auto_data_analysis_graphics** files: +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_graphics_plot_sensitivity_par_coo_ishigami.py` (``plot_sensitivity_par_coo_ishigami.py``) | 00:03.315 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_graphics_plot_sensitivity_par_coo_ishigami.py` (``plot_sensitivity_par_coo_ishigami.py``) | 00:02.864 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_graphics_plot_visualize_clouds.py` (``plot_visualize_clouds.py``) | 00:00.259 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_graphics_plot_visualize_clouds.py` (``plot_visualize_clouds.py``) | 00:00.238 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_graphics_plot_visualize_pairs.py` (``plot_visualize_pairs.py``) | 00:00.203 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_graphics_plot_visualize_pairs.py` (``plot_visualize_pairs.py``) | 00:00.158 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_data_analysis/manage_data_and_samples/sg_execution_times.rst.txt b/openturns/master/_sources/auto_data_analysis/manage_data_and_samples/sg_execution_times.rst.txt index 36baedd598f..4752e85634b 100644 --- a/openturns/master/_sources/auto_data_analysis/manage_data_and_samples/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/manage_data_and_samples/sg_execution_times.rst.txt @@ -6,26 +6,26 @@ Computation times ================= -**00:00.869** total execution time for **auto_data_analysis_manage_data_and_samples** files: +**00:00.811** total execution time for **auto_data_analysis_manage_data_and_samples** files: +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_sample_correlation.py` (``plot_sample_correlation.py``) | 00:00.408 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_sample_correlation.py` (``plot_sample_correlation.py``) | 00:00.389 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_sample_pandas.py` (``plot_sample_pandas.py``) | 00:00.192 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_sample_pandas.py` (``plot_sample_pandas.py``) | 00:00.167 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_linear_regression.py` (``plot_linear_regression.py``) | 00:00.145 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_linear_regression.py` (``plot_linear_regression.py``) | 00:00.137 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_quantile_estimation_wilks.py` (``plot_quantile_estimation_wilks.py``) | 00:00.098 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_quantile_estimation_wilks.py` (``plot_quantile_estimation_wilks.py``) | 00:00.095 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_quick_start_point_and_sample.py` (``plot_quick_start_point_and_sample.py``) | 00:00.008 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_estimate_moments.py` (``plot_estimate_moments.py``) | 00:00.005 | 0.0 MB | -+--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_sample_manipulation.py` (``plot_sample_manipulation.py``) | 00:00.005 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_sort_sample.py` (``plot_sort_sample.py``) | 00:00.004 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_estimate_moments.py` (``plot_estimate_moments.py``) | 00:00.005 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_import_export_sample_csv.py` (``plot_import_export_sample_csv.py``) | 00:00.002 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_sort_sample.py` (``plot_sort_sample.py``) | 00:00.004 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_randomize_sample_lines.py` (``plot_randomize_sample_lines.py``) | 00:00.002 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_data_analysis_manage_data_and_samples_plot_import_export_sample_csv.py` (``plot_import_export_sample_csv.py``) | 00:00.002 | 0.0 MB | ++--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_data_analysis/sample_analysis/sg_execution_times.rst.txt b/openturns/master/_sources/auto_data_analysis/sample_analysis/sg_execution_times.rst.txt index 7b2dde6b23e..c318f52aaed 100644 --- a/openturns/master/_sources/auto_data_analysis/sample_analysis/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/sample_analysis/sg_execution_times.rst.txt @@ -6,16 +6,16 @@ Computation times ================= -**00:01.480** total execution time for **auto_data_analysis_sample_analysis** files: +**00:01.383** total execution time for **auto_data_analysis_sample_analysis** files: +--------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_sample_analysis_plot_draw_survival.py` (``plot_draw_survival.py``) | 00:01.026 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_sample_analysis_plot_draw_survival.py` (``plot_draw_survival.py``) | 00:00.963 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_sample_analysis_plot_src_confidence.py` (``plot_src_confidence.py``) | 00:00.160 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_sample_analysis_plot_src_confidence.py` (``plot_src_confidence.py``) | 00:00.150 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_sample_analysis_plot_visualize_empirical_cdf.py` (``plot_visualize_empirical_cdf.py``) | 00:00.125 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_sample_analysis_plot_visualize_empirical_cdf.py` (``plot_visualize_empirical_cdf.py``) | 00:00.111 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_sample_analysis_plot_compare_unconditional_conditional_histograms.py` (``plot_compare_unconditional_conditional_histograms.py``) | 00:00.105 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_sample_analysis_plot_compare_unconditional_conditional_histograms.py` (``plot_compare_unconditional_conditional_histograms.py``) | 00:00.099 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_sample_analysis_plot_visualize_histogram.py` (``plot_visualize_histogram.py``) | 00:00.064 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_sample_analysis_plot_visualize_histogram.py` (``plot_visualize_histogram.py``) | 00:00.060 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_data_analysis/statistical_tests/sg_execution_times.rst.txt b/openturns/master/_sources/auto_data_analysis/statistical_tests/sg_execution_times.rst.txt index db77ed23e43..e14a4d308db 100644 --- a/openturns/master/_sources/auto_data_analysis/statistical_tests/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_data_analysis/statistical_tests/sg_execution_times.rst.txt @@ -6,28 +6,28 @@ Computation times ================= -**00:02.813** total execution time for **auto_data_analysis_statistical_tests** files: +**00:02.532** total execution time for **auto_data_analysis_statistical_tests** files: +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_kolmogorov_distribution.py` (``plot_kolmogorov_distribution.py``) | 00:01.454 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_kolmogorov_distribution.py` (``plot_kolmogorov_distribution.py``) | 00:01.302 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_fitted_distribution_ranking.py` (``plot_fitted_distribution_ranking.py``) | 00:00.404 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_fitted_distribution_ranking.py` (``plot_fitted_distribution_ranking.py``) | 00:00.372 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_test_copula.py` (``plot_test_copula.py``) | 00:00.305 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_test_copula.py` (``plot_test_copula.py``) | 00:00.275 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_qqplot_graph.py` (``plot_qqplot_graph.py``) | 00:00.144 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_smirnov_test.py` (``plot_smirnov_test.py``) | 00:00.131 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_test_normality.py` (``plot_test_normality.py``) | 00:00.139 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_qqplot_graph.py` (``plot_qqplot_graph.py``) | 00:00.129 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_smirnov_test.py` (``plot_smirnov_test.py``) | 00:00.138 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_test_normality.py` (``plot_test_normality.py``) | 00:00.123 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_kolmogorov_pvalue.py` (``plot_kolmogorov_pvalue.py``) | 00:00.108 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_kolmogorov_pvalue.py` (``plot_kolmogorov_pvalue.py``) | 00:00.095 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_kolmogorov_statistics.py` (``plot_kolmogorov_statistics.py``) | 00:00.083 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_kolmogorov_statistics.py` (``plot_kolmogorov_statistics.py``) | 00:00.070 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_kolmogorov_test.py` (``plot_kolmogorov_test.py``) | 00:00.030 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_kolmogorov_test.py` (``plot_kolmogorov_test.py``) | 00:00.029 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_test_independence.py` (``plot_test_independence.py``) | 00:00.005 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_test_independence.py` (``plot_test_independence.py``) | 00:00.004 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_chi2_fitting_test.py` (``plot_chi2_fitting_test.py``) | 00:00.002 | 0.0 MB | +| :ref:`sphx_glr_auto_data_analysis_statistical_tests_plot_chi2_fitting_test.py` (``plot_chi2_fitting_test.py``) | 00:00.001 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_functional_modeling/field_functions/sg_execution_times.rst.txt b/openturns/master/_sources/auto_functional_modeling/field_functions/sg_execution_times.rst.txt index 86f6643a544..13d61abf616 100644 --- a/openturns/master/_sources/auto_functional_modeling/field_functions/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_functional_modeling/field_functions/sg_execution_times.rst.txt @@ -6,16 +6,16 @@ Computation times ================= -**00:00.684** total execution time for **auto_functional_modeling_field_functions** files: +**00:00.732** total execution time for **auto_functional_modeling_field_functions** files: +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_functional_modeling_field_functions_plot_function_manipulation.py` (``plot_function_manipulation.py``) | 00:00.331 | 0.0 MB | +| :ref:`sphx_glr_auto_functional_modeling_field_functions_plot_function_manipulation.py` (``plot_function_manipulation.py``) | 00:00.359 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_functional_modeling_field_functions_plot_logistic_growth_model.py` (``plot_logistic_growth_model.py``) | 00:00.196 | 0.0 MB | +| :ref:`sphx_glr_auto_functional_modeling_field_functions_plot_logistic_growth_model.py` (``plot_logistic_growth_model.py``) | 00:00.206 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_functional_modeling_field_functions_plot_viscous_fall_field_function.py` (``plot_viscous_fall_field_function.py``) | 00:00.082 | 0.0 MB | +| :ref:`sphx_glr_auto_functional_modeling_field_functions_plot_viscous_fall_field_function.py` (``plot_viscous_fall_field_function.py``) | 00:00.087 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_functional_modeling_field_functions_plot_viscous_fall_field_function_connection.py` (``plot_viscous_fall_field_function_connection.py``) | 00:00.072 | 0.0 MB | +| :ref:`sphx_glr_auto_functional_modeling_field_functions_plot_viscous_fall_field_function_connection.py` (``plot_viscous_fall_field_function_connection.py``) | 00:00.076 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_functional_modeling_field_functions_plot_vertexvalue_function.py` (``plot_vertexvalue_function.py``) | 00:00.002 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_functional_modeling/link_to_an_external_code/sg_execution_times.rst.txt b/openturns/master/_sources/auto_functional_modeling/link_to_an_external_code/sg_execution_times.rst.txt index 398999a091a..f3d8ba3dfa5 100644 --- a/openturns/master/_sources/auto_functional_modeling/link_to_an_external_code/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_functional_modeling/link_to_an_external_code/sg_execution_times.rst.txt @@ -6,8 +6,8 @@ Computation times ================= -**00:00.023** total execution time for **auto_functional_modeling_link_to_an_external_code** files: +**00:00.032** total execution time for **auto_functional_modeling_link_to_an_external_code** files: +-------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_functional_modeling_link_to_an_external_code_plot_link_computer_code_coupling_tools.py` (``plot_link_computer_code_coupling_tools.py``) | 00:00.023 | 0.0 MB | +| :ref:`sphx_glr_auto_functional_modeling_link_to_an_external_code_plot_link_computer_code_coupling_tools.py` (``plot_link_computer_code_coupling_tools.py``) | 00:00.032 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_functional_modeling/univariate_functions/sg_execution_times.rst.txt b/openturns/master/_sources/auto_functional_modeling/univariate_functions/sg_execution_times.rst.txt index b3f793ff55e..105108a317a 100644 --- a/openturns/master/_sources/auto_functional_modeling/univariate_functions/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_functional_modeling/univariate_functions/sg_execution_times.rst.txt @@ -6,8 +6,8 @@ Computation times ================= -**00:00.226** total execution time for **auto_functional_modeling_univariate_functions** files: +**00:00.255** total execution time for **auto_functional_modeling_univariate_functions** files: +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_functional_modeling_univariate_functions_plot_createUnivariateFunction.py` (``plot_createUnivariateFunction.py``) | 00:00.226 | 0.0 MB | +| :ref:`sphx_glr_auto_functional_modeling_univariate_functions_plot_createUnivariateFunction.py` (``plot_createUnivariateFunction.py``) | 00:00.255 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_functional_modeling/vectorial_functions/sg_execution_times.rst.txt b/openturns/master/_sources/auto_functional_modeling/vectorial_functions/sg_execution_times.rst.txt index bb95416dac5..fefaf5af32d 100644 --- a/openturns/master/_sources/auto_functional_modeling/vectorial_functions/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_functional_modeling/vectorial_functions/sg_execution_times.rst.txt @@ -6,28 +6,28 @@ Computation times ================= -**00:00.239** total execution time for **auto_functional_modeling_vectorial_functions** files: +**00:00.260** total execution time for **auto_functional_modeling_vectorial_functions** files: +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_symbolic_function.py` (``plot_symbolic_function.py``) | 00:00.110 | 0.0 MB | +| :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_symbolic_function.py` (``plot_symbolic_function.py``) | 00:00.121 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_quadratic_function.py` (``plot_quadratic_function.py``) | 00:00.062 | 0.0 MB | +| :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_quadratic_function.py` (``plot_quadratic_function.py``) | 00:00.068 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_quick_start_functions.py` (``plot_quick_start_functions.py``) | 00:00.048 | 0.0 MB | -+--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_createMultivariateFunction.py` (``plot_createMultivariateFunction.py``) | 00:00.003 | 0.0 MB | +| :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_quick_start_functions.py` (``plot_quick_start_functions.py``) | 00:00.053 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_functions_inputDim.py` (``plot_functions_inputDim.py``) | 00:00.003 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_createMultivariateFunction.py` (``plot_createMultivariateFunction.py``) | 00:00.003 | 0.0 MB | ++--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_python_function.py` (``plot_python_function.py``) | 00:00.003 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_aggregated_function.py` (``plot_aggregated_function.py``) | 00:00.002 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_linear_combination_function.py` (``plot_linear_combination_function.py``) | 00:00.002 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_functions_outputDim.py` (``plot_functions_outputDim.py``) | 00:00.002 | 0.0 MB | -+--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_composed_function.py` (``plot_composed_function.py``) | 00:00.002 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_parametric_function.py` (``plot_parametric_function.py``) | 00:00.001 | 0.0 MB | +| :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_functions_outputDim.py` (``plot_functions_outputDim.py``) | 00:00.002 | 0.0 MB | ++--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_functional_modeling_vectorial_functions_plot_parametric_function.py` (``plot_parametric_function.py``) | 00:00.002 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_graphs/sg_execution_times.rst.txt b/openturns/master/_sources/auto_graphs/sg_execution_times.rst.txt index f0918170048..9191b54a3c6 100644 --- a/openturns/master/_sources/auto_graphs/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_graphs/sg_execution_times.rst.txt @@ -6,12 +6,12 @@ Computation times ================= -**00:01.796** total execution time for **auto_graphs** files: +**00:02.033** total execution time for **auto_graphs** files: +-------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_graphs_plot_graphs_basics.py` (``plot_graphs_basics.py``) | 00:01.022 | 0.0 MB | +| :ref:`sphx_glr_auto_graphs_plot_graphs_basics.py` (``plot_graphs_basics.py``) | 00:01.183 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_graphs_plot_graphs_loglikelihood_contour.py` (``plot_graphs_loglikelihood_contour.py``) | 00:00.624 | 0.0 MB | +| :ref:`sphx_glr_auto_graphs_plot_graphs_loglikelihood_contour.py` (``plot_graphs_loglikelihood_contour.py``) | 00:00.673 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_graphs_plot_graphs_fill_area.py` (``plot_graphs_fill_area.py``) | 00:00.150 | 0.0 MB | +| :ref:`sphx_glr_auto_graphs_plot_graphs_fill_area.py` (``plot_graphs_fill_area.py``) | 00:00.178 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_meta_modeling/fields_metamodels/plot_fieldfunction_metamodel.rst.txt b/openturns/master/_sources/auto_meta_modeling/fields_metamodels/plot_fieldfunction_metamodel.rst.txt index 0b0ab9063e3..1f6e09fe692 100644 --- a/openturns/master/_sources/auto_meta_modeling/fields_metamodels/plot_fieldfunction_metamodel.rst.txt +++ b/openturns/master/_sources/auto_meta_modeling/fields_metamodels/plot_fieldfunction_metamodel.rst.txt @@ -498,7 +498,7 @@ Reset default settings .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 18.399 seconds) + **Total running time of the script:** (0 minutes 18.072 seconds) .. _sphx_glr_download_auto_meta_modeling_fields_metamodels_plot_fieldfunction_metamodel.py: diff --git a/openturns/master/_sources/auto_meta_modeling/fields_metamodels/sg_execution_times.rst.txt b/openturns/master/_sources/auto_meta_modeling/fields_metamodels/sg_execution_times.rst.txt index 623b7b9eed9..adaf2639a8d 100644 --- a/openturns/master/_sources/auto_meta_modeling/fields_metamodels/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_meta_modeling/fields_metamodels/sg_execution_times.rst.txt @@ -6,12 +6,12 @@ Computation times ================= -**00:20.848** total execution time for **auto_meta_modeling_fields_metamodels** files: +**00:20.539** total execution time for **auto_meta_modeling_fields_metamodels** files: +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_fields_metamodels_plot_fieldfunction_metamodel.py` (``plot_fieldfunction_metamodel.py``) | 00:18.399 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_fields_metamodels_plot_fieldfunction_metamodel.py` (``plot_fieldfunction_metamodel.py``) | 00:18.072 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_fields_metamodels_plot_viscous_fall_metamodel.py` (``plot_viscous_fall_metamodel.py``) | 00:01.970 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_fields_metamodels_plot_viscous_fall_metamodel.py` (``plot_viscous_fall_metamodel.py``) | 00:01.933 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_fields_metamodels_plot_karhunenloeve_validation.py` (``plot_karhunenloeve_validation.py``) | 00:00.480 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_fields_metamodels_plot_karhunenloeve_validation.py` (``plot_karhunenloeve_validation.py``) | 00:00.535 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_meta_modeling/general_purpose_metamodels/sg_execution_times.rst.txt b/openturns/master/_sources/auto_meta_modeling/general_purpose_metamodels/sg_execution_times.rst.txt index 258cb297559..fa6f7ab9e7e 100644 --- a/openturns/master/_sources/auto_meta_modeling/general_purpose_metamodels/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_meta_modeling/general_purpose_metamodels/sg_execution_times.rst.txt @@ -6,20 +6,20 @@ Computation times ================= -**00:02.456** total execution time for **auto_meta_modeling_general_purpose_metamodels** files: +**00:02.149** total execution time for **auto_meta_modeling_general_purpose_metamodels** files: +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_overfitting_model_selection.py` (``plot_overfitting_model_selection.py``) | 00:00.796 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_overfitting_model_selection.py` (``plot_overfitting_model_selection.py``) | 00:00.711 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_linear_model.py` (``plot_linear_model.py``) | 00:00.697 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_linear_model.py` (``plot_linear_model.py``) | 00:00.650 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_stepwise.py` (``plot_stepwise.py``) | 00:00.437 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_stepwise.py` (``plot_stepwise.py``) | 00:00.331 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_expert_mixture.py` (``plot_expert_mixture.py``) | 00:00.188 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_expert_mixture.py` (``plot_expert_mixture.py``) | 00:00.169 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_taylor_approximation.py` (``plot_taylor_approximation.py``) | 00:00.176 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_taylor_approximation.py` (``plot_taylor_approximation.py``) | 00:00.137 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_general_linear_model.py` (``plot_general_linear_model.py``) | 00:00.093 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_general_linear_model.py` (``plot_general_linear_model.py``) | 00:00.086 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_create_linear_least_squares_model.py` (``plot_create_linear_least_squares_model.py``) | 00:00.068 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_general_purpose_metamodels_plot_create_linear_least_squares_model.py` (``plot_create_linear_least_squares_model.py``) | 00:00.064 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_meta_modeling/kriging_metamodel/sg_execution_times.rst.txt b/openturns/master/_sources/auto_meta_modeling/kriging_metamodel/sg_execution_times.rst.txt index a076ae41225..df3059cb902 100644 --- a/openturns/master/_sources/auto_meta_modeling/kriging_metamodel/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_meta_modeling/kriging_metamodel/sg_execution_times.rst.txt @@ -6,40 +6,40 @@ Computation times ================= -**00:06.001** total execution time for **auto_meta_modeling_kriging_metamodel** files: +**00:05.810** total execution time for **auto_meta_modeling_kriging_metamodel** files: +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_draw_covariance_models.py` (``plot_draw_covariance_models.py``) | 00:01.328 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_draw_covariance_models.py` (``plot_draw_covariance_models.py``) | 00:01.185 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_advanced.py` (``plot_kriging_advanced.py``) | 00:00.772 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_advanced.py` (``plot_kriging_advanced.py``) | 00:00.804 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_sequential.py` (``plot_kriging_sequential.py``) | 00:00.616 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_sequential.py` (``plot_kriging_sequential.py``) | 00:00.578 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_chose_trend.py` (``plot_kriging_chose_trend.py``) | 00:00.468 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_chose_trend.py` (``plot_kriging_chose_trend.py``) | 00:00.477 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_branin_function.py` (``plot_kriging_branin_function.py``) | 00:00.394 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_branin_function.py` (``plot_kriging_branin_function.py``) | 00:00.409 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_propagate_kriging_ishigami.py` (``plot_propagate_kriging_ishigami.py``) | 00:00.361 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_propagate_kriging_ishigami.py` (``plot_propagate_kriging_ishigami.py``) | 00:00.346 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_1d.py` (``plot_kriging_1d.py``) | 00:00.355 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_multioutput_firesatellite.py` (``plot_kriging_multioutput_firesatellite.py``) | 00:00.314 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_multioutput_firesatellite.py` (``plot_kriging_multioutput_firesatellite.py``) | 00:00.292 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_1d.py` (``plot_kriging_1d.py``) | 00:00.314 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_isotropic.py` (``plot_kriging_isotropic.py``) | 00:00.264 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_isotropic.py` (``plot_kriging_isotropic.py``) | 00:00.259 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_simulate.py` (``plot_kriging_simulate.py``) | 00:00.255 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_simulate.py` (``plot_kriging_simulate.py``) | 00:00.243 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_hyperparameters_optimization.py` (``plot_kriging_hyperparameters_optimization.py``) | 00:00.206 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_hyperparameters_optimization.py` (``plot_kriging_hyperparameters_optimization.py``) | 00:00.205 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_cantilever_beam_hmat.py` (``plot_kriging_cantilever_beam_hmat.py``) | 00:00.190 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_cantilever_beam_hmat.py` (``plot_kriging_cantilever_beam_hmat.py``) | 00:00.183 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_cantilever_beam.py` (``plot_kriging_cantilever_beam.py``) | 00:00.180 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_cantilever_beam.py` (``plot_kriging_cantilever_beam.py``) | 00:00.177 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_beam_trend.py` (``plot_kriging_beam_trend.py``) | 00:00.164 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_likelihood.py` (``plot_kriging_likelihood.py``) | 00:00.078 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_likelihood.py` (``plot_kriging_likelihood.py``) | 00:00.077 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging.py` (``plot_kriging.py``) | 00:00.070 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging.py` (``plot_kriging.py``) | 00:00.068 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_beam_arbitrary_trend.py` (``plot_kriging_beam_arbitrary_trend.py``) | 00:00.009 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_kriging_metamodel_plot_kriging_beam_arbitrary_trend.py` (``plot_kriging_beam_arbitrary_trend.py``) | 00:00.008 | 0.0 MB | +------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_beam_sensitivity_degree.rst.txt b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_beam_sensitivity_degree.rst.txt index 6c6acc233e7..4347370e20c 100644 --- a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_beam_sensitivity_degree.rst.txt +++ b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_beam_sensitivity_degree.rst.txt @@ -576,7 +576,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 6.771 seconds) + **Total running time of the script:** (0 minutes 6.315 seconds) .. _sphx_glr_download_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_beam_sensitivity_degree.py: diff --git a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_build_distribution.rst.txt b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_build_distribution.rst.txt index 0c11db2893c..5e1ed7af18c 100644 --- a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_build_distribution.rst.txt +++ b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_build_distribution.rst.txt @@ -180,11 +180,6 @@ Reset default settings -.. rst-class:: sphx-glr-timing - - **Total running time of the script:** (0 minutes 2.191 seconds) - - .. _sphx_glr_download_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_build_distribution.py: .. only:: html diff --git a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_cleaning_strategy.rst.txt b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_cleaning_strategy.rst.txt index 13cfcf320df..d67f3c60d75 100644 --- a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_cleaning_strategy.rst.txt +++ b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_cleaning_strategy.rst.txt @@ -1043,7 +1043,7 @@ produce the best Q2 score. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 2.372 seconds) + **Total running time of the script:** (0 minutes 2.136 seconds) .. _sphx_glr_download_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_cleaning_strategy.py: diff --git a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_cv.rst.txt b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_cv.rst.txt index 9243bef2126..4d9b4d8149d 100644 --- a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_cv.rst.txt +++ b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_cv.rst.txt @@ -672,7 +672,7 @@ When estimating the :math:`Q^2` score with the best parameters, the test set is .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 11.491 seconds) + **Total running time of the script:** (0 minutes 10.681 seconds) .. _sphx_glr_download_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_cv.py: diff --git a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_sobol_confidence.rst.txt b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_sobol_confidence.rst.txt index e1bb3c8bddf..809e56ce545 100644 --- a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_sobol_confidence.rst.txt +++ b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_chaos_sobol_confidence.rst.txt @@ -619,7 +619,7 @@ Hence, there is no evidence that the Sobol' indices of E are zero. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 2.951 seconds) + **Total running time of the script:** (0 minutes 2.860 seconds) .. _sphx_glr_download_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_sobol_confidence.py: diff --git a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_functional_chaos.rst.txt b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_functional_chaos.rst.txt index 8c69d7dafd0..00580a25ced 100644 --- a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_functional_chaos.rst.txt +++ b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/plot_functional_chaos.rst.txt @@ -489,7 +489,7 @@ Reset default settings .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 8.421 seconds) + **Total running time of the script:** (0 minutes 7.086 seconds) .. _sphx_glr_download_auto_meta_modeling_polynomial_chaos_metamodel_plot_functional_chaos.py: diff --git a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/sg_execution_times.rst.txt b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/sg_execution_times.rst.txt index 815b82c7c92..2d8c65fbed9 100644 --- a/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_meta_modeling/polynomial_chaos_metamodel/sg_execution_times.rst.txt @@ -6,36 +6,36 @@ Computation times ================= -**00:36.727** total execution time for **auto_meta_modeling_polynomial_chaos_metamodel** files: +**00:33.109** total execution time for **auto_meta_modeling_polynomial_chaos_metamodel** files: +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_cv.py` (``plot_chaos_cv.py``) | 00:11.491 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_cv.py` (``plot_chaos_cv.py``) | 00:10.681 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_functional_chaos.py` (``plot_functional_chaos.py``) | 00:08.421 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_functional_chaos.py` (``plot_functional_chaos.py``) | 00:07.086 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_beam_sensitivity_degree.py` (``plot_chaos_beam_sensitivity_degree.py``) | 00:06.771 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_beam_sensitivity_degree.py` (``plot_chaos_beam_sensitivity_degree.py``) | 00:06.315 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_sobol_confidence.py` (``plot_chaos_sobol_confidence.py``) | 00:02.951 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_sobol_confidence.py` (``plot_chaos_sobol_confidence.py``) | 00:02.860 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_cleaning_strategy.py` (``plot_chaos_cleaning_strategy.py``) | 00:02.372 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_cleaning_strategy.py` (``plot_chaos_cleaning_strategy.py``) | 00:02.136 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_build_distribution.py` (``plot_chaos_build_distribution.py``) | 00:02.191 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_build_distribution.py` (``plot_chaos_build_distribution.py``) | 00:01.877 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_enumeratefunction.py` (``plot_enumeratefunction.py``) | 00:01.368 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_enumeratefunction.py` (``plot_enumeratefunction.py``) | 00:01.148 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_ishigami.py` (``plot_chaos_ishigami.py``) | 00:00.417 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_ishigami.py` (``plot_chaos_ishigami.py``) | 00:00.337 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_cantilever_beam_integration.py` (``plot_chaos_cantilever_beam_integration.py``) | 00:00.294 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_cantilever_beam_integration.py` (``plot_chaos_cantilever_beam_integration.py``) | 00:00.259 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_functional_chaos_graphs.py` (``plot_functional_chaos_graphs.py``) | 00:00.250 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_functional_chaos_graphs.py` (``plot_functional_chaos_graphs.py``) | 00:00.227 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_draw_validation.py` (``plot_chaos_draw_validation.py``) | 00:00.120 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_draw_validation.py` (``plot_chaos_draw_validation.py``) | 00:00.111 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_functional_chaos_exploitation.py` (``plot_functional_chaos_exploitation.py``) | 00:00.024 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_functional_chaos_exploitation.py` (``plot_functional_chaos_exploitation.py``) | 00:00.023 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_ishigami_grouped_indices.py` (``plot_chaos_ishigami_grouped_indices.py``) | 00:00.024 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_chaos_ishigami_grouped_indices.py` (``plot_chaos_ishigami_grouped_indices.py``) | 00:00.022 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_functional_chaos_database.py` (``plot_functional_chaos_database.py``) | 00:00.022 | 0.0 MB | +| :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_functional_chaos_database.py` (``plot_functional_chaos_database.py``) | 00:00.018 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_meta_modeling_polynomial_chaos_metamodel_plot_functional_chaos_advanced_ctors.py` (``plot_functional_chaos_advanced_ctors.py``) | 00:00.007 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_numerical_methods/general_methods/plot_ifs.rst.txt b/openturns/master/_sources/auto_numerical_methods/general_methods/plot_ifs.rst.txt index e80a38592f0..25dccbac68f 100644 --- a/openturns/master/_sources/auto_numerical_methods/general_methods/plot_ifs.rst.txt +++ b/openturns/master/_sources/auto_numerical_methods/general_methods/plot_ifs.rst.txt @@ -275,7 +275,7 @@ Sierpinski triangle .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 7.215 seconds) + **Total running time of the script:** (0 minutes 7.742 seconds) .. _sphx_glr_download_auto_numerical_methods_general_methods_plot_ifs.py: diff --git a/openturns/master/_sources/auto_numerical_methods/general_methods/plot_pce_design.rst.txt b/openturns/master/_sources/auto_numerical_methods/general_methods/plot_pce_design.rst.txt index 12c6fad8000..dca5c691633 100644 --- a/openturns/master/_sources/auto_numerical_methods/general_methods/plot_pce_design.rst.txt +++ b/openturns/master/_sources/auto_numerical_methods/general_methods/plot_pce_design.rst.txt @@ -547,7 +547,7 @@ Compute leave-one-out error .. code-block:: none - mseLOO = 30.686209754683272 + mseLOO = 5.512495413027063 @@ -686,8 +686,8 @@ perform elementwise division and exponentiation .. code-block:: none - MSE LOO = 30.68620975468324 - Q2 LOO = -0.7775640774701771 + MSE LOO = 5.512495413027087 + Q2 LOO = 0.5281658415397807 diff --git a/openturns/master/_sources/auto_numerical_methods/general_methods/plot_random_generator.rst.txt b/openturns/master/_sources/auto_numerical_methods/general_methods/plot_random_generator.rst.txt index 98f95947358..cbb74f7b97a 100644 --- a/openturns/master/_sources/auto_numerical_methods/general_methods/plot_random_generator.rst.txt +++ b/openturns/master/_sources/auto_numerical_methods/general_methods/plot_random_generator.rst.txt @@ -127,7 +127,7 @@ Example 3: using a previously saved generator state .. raw:: html
-

[-0.0643973]

+

[1.18328]



@@ -150,7 +150,7 @@ load the generator state .. raw:: html
-

[-0.0643973]

+

[1.18328]



diff --git a/openturns/master/_sources/auto_numerical_methods/general_methods/sg_execution_times.rst.txt b/openturns/master/_sources/auto_numerical_methods/general_methods/sg_execution_times.rst.txt index a8c05a01369..13f33b63222 100644 --- a/openturns/master/_sources/auto_numerical_methods/general_methods/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_numerical_methods/general_methods/sg_execution_times.rst.txt @@ -6,22 +6,22 @@ Computation times ================= -**00:08.160** total execution time for **auto_numerical_methods_general_methods** files: +**00:08.853** total execution time for **auto_numerical_methods_general_methods** files: +----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_ifs.py` (``plot_ifs.py``) | 00:07.215 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_ifs.py` (``plot_ifs.py``) | 00:07.742 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_pce_design.py` (``plot_pce_design.py``) | 00:00.362 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_regression_sinus.py` (``plot_regression_sinus.py``) | 00:00.419 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_regression_sinus.py` (``plot_regression_sinus.py``) | 00:00.359 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_pce_design.py` (``plot_pce_design.py``) | 00:00.408 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_estimate_integral_iterated_quadrature.py` (``plot_estimate_integral_iterated_quadrature.py``) | 00:00.125 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_estimate_integral_iterated_quadrature.py` (``plot_estimate_integral_iterated_quadrature.py``) | 00:00.160 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_regression_interval.py` (``plot_regression_interval.py``) | 00:00.086 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_regression_interval.py` (``plot_regression_interval.py``) | 00:00.102 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_study_save_load.py` (``plot_study_save_load.py``) | 00:00.011 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_study_save_load.py` (``plot_study_save_load.py``) | 00:00.018 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_random_generator.py` (``plot_random_generator.py``) | 00:00.001 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_combinatorial_generator.py` (``plot_combinatorial_generator.py``) | 00:00.002 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_combinatorial_generator.py` (``plot_combinatorial_generator.py``) | 00:00.001 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_general_methods_plot_random_generator.py` (``plot_random_generator.py``) | 00:00.001 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_numerical_methods/iterative_statistics/sg_execution_times.rst.txt b/openturns/master/_sources/auto_numerical_methods/iterative_statistics/sg_execution_times.rst.txt index cdc471bca88..3132e0f9059 100644 --- a/openturns/master/_sources/auto_numerical_methods/iterative_statistics/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_numerical_methods/iterative_statistics/sg_execution_times.rst.txt @@ -6,12 +6,12 @@ Computation times ================= -**00:00.577** total execution time for **auto_numerical_methods_iterative_statistics** files: +**00:00.646** total execution time for **auto_numerical_methods_iterative_statistics** files: +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_iterative_statistics_plot_iterative_threshold.py` (``plot_iterative_threshold.py``) | 00:00.279 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_iterative_statistics_plot_iterative_threshold.py` (``plot_iterative_threshold.py``) | 00:00.321 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_iterative_statistics_plot_iterative_extrema.py` (``plot_iterative_extrema.py``) | 00:00.159 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_iterative_statistics_plot_iterative_extrema.py` (``plot_iterative_extrema.py``) | 00:00.166 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_iterative_statistics_plot_iterative_moments.py` (``plot_iterative_moments.py``) | 00:00.139 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_iterative_statistics_plot_iterative_moments.py` (``plot_iterative_moments.py``) | 00:00.158 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_numerical_methods/optimization/plot_control_termination.rst.txt b/openturns/master/_sources/auto_numerical_methods/optimization/plot_control_termination.rst.txt index e2d0e05677c..fc234257d15 100644 --- a/openturns/master/_sources/auto_numerical_methods/optimization/plot_control_termination.rst.txt +++ b/openturns/master/_sources/auto_numerical_methods/optimization/plot_control_termination.rst.txt @@ -210,8 +210,8 @@ Run algorithm .. code-block:: none - event probability: 0.13933077345035633 - calls number: 3748 + event probability: 0.13874558783600302 + calls number: 3785 diff --git a/openturns/master/_sources/auto_numerical_methods/optimization/plot_ego.rst.txt b/openturns/master/_sources/auto_numerical_methods/optimization/plot_ego.rst.txt index 1df29aacf06..48750eb81b5 100644 --- a/openturns/master/_sources/auto_numerical_methods/optimization/plot_ego.rst.txt +++ b/openturns/master/_sources/auto_numerical_methods/optimization/plot_ego.rst.txt @@ -840,7 +840,7 @@ We run the algorithm and get the result: .. raw:: html
-

[0.124456,0.803571]

+

[0.124444,0.803607]



@@ -859,7 +859,7 @@ We run the algorithm and get the result: .. raw:: html
-

[-1.04662]

+

[-1.04663]



@@ -974,7 +974,7 @@ Reset default settings .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 4.477 seconds) + **Total running time of the script:** (0 minutes 4.814 seconds) .. _sphx_glr_download_auto_numerical_methods_optimization_plot_ego.py: diff --git a/openturns/master/_sources/auto_numerical_methods/optimization/plot_optimization_dlib.rst.txt b/openturns/master/_sources/auto_numerical_methods/optimization/plot_optimization_dlib.rst.txt index 7c061d85cd2..e6ab35787ea 100644 --- a/openturns/master/_sources/auto_numerical_methods/optimization/plot_optimization_dlib.rst.txt +++ b/openturns/master/_sources/auto_numerical_methods/optimization/plot_optimization_dlib.rst.txt @@ -450,13 +450,13 @@ Retrieve results .. code-block:: none - x^ = [3.0398,1.30277,0.5] - f(x^) = [2.77699e-27] + x^ = [2.66928,1.14398,0.5] + f(x^) = [1.0387e-23] Iteration number: 7 Evaluation number: 8 - Absolute error: 1.8329612019352505e-07 - Relative error: 5.4800485422277403e-08 - Residual error: 1.830298897866633e-14 + Absolute error: 1.266046219980731e-06 + Relative error: 4.296315324200083e-07 + Residual error: 1.2764810781704099e-12 Constraint error: 0.0 diff --git a/openturns/master/_sources/auto_numerical_methods/optimization/sg_execution_times.rst.txt b/openturns/master/_sources/auto_numerical_methods/optimization/sg_execution_times.rst.txt index 13ac756c9e0..0151f0f5f61 100644 --- a/openturns/master/_sources/auto_numerical_methods/optimization/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_numerical_methods/optimization/sg_execution_times.rst.txt @@ -6,28 +6,28 @@ Computation times ================= -**00:06.727** total execution time for **auto_numerical_methods_optimization** files: +**00:07.230** total execution time for **auto_numerical_methods_optimization** files: +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_ego.py` (``plot_ego.py``) | 00:04.477 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_ego.py` (``plot_ego.py``) | 00:04.814 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_rastrigin.py` (``plot_optimization_rastrigin.py``) | 00:00.940 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_rastrigin.py` (``plot_optimization_rastrigin.py``) | 00:01.011 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_rosenbrock.py` (``plot_optimization_rosenbrock.py``) | 00:00.592 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_rosenbrock.py` (``plot_optimization_rosenbrock.py``) | 00:00.634 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_dlib.py` (``plot_optimization_dlib.py``) | 00:00.346 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_dlib.py` (``plot_optimization_dlib.py``) | 00:00.383 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_pagmo.py` (``plot_optimization_pagmo.py``) | 00:00.158 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_pagmo.py` (``plot_optimization_pagmo.py``) | 00:00.165 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_constraints.py` (``plot_optimization_constraints.py``) | 00:00.067 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_constraints.py` (``plot_optimization_constraints.py``) | 00:00.071 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_nlopt.py` (``plot_optimization_nlopt.py``) | 00:00.066 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_nlopt.py` (``plot_optimization_nlopt.py``) | 00:00.069 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_bonmin.py` (``plot_optimization_bonmin.py``) | 00:00.059 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_optimization_bonmin.py` (``plot_optimization_bonmin.py``) | 00:00.060 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_numerical_methods_optimization_plot_control_termination.py` (``plot_control_termination.py``) | 00:00.014 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_minmax_optimization.py` (``plot_minmax_optimization.py``) | 00:00.004 | 0.0 MB | +| :ref:`sphx_glr_auto_numerical_methods_optimization_plot_minmax_optimization.py` (``plot_minmax_optimization.py``) | 00:00.006 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_numerical_methods_optimization_plot_minmax_by_random_design.py` (``plot_minmax_by_random_design.py``) | 00:00.003 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_probabilistic_modeling/copulas/sg_execution_times.rst.txt b/openturns/master/_sources/auto_probabilistic_modeling/copulas/sg_execution_times.rst.txt index 45bb5535a55..8130d7e433a 100644 --- a/openturns/master/_sources/auto_probabilistic_modeling/copulas/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_probabilistic_modeling/copulas/sg_execution_times.rst.txt @@ -6,14 +6,14 @@ Computation times ================= -**00:00.455** total execution time for **auto_probabilistic_modeling_copulas** files: +**00:00.394** total execution time for **auto_probabilistic_modeling_copulas** files: +-----------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_copulas_plot_ordinal_sum_copula.py` (``plot_ordinal_sum_copula.py``) | 00:00.451 | 0.0 MB | -+-----------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_copulas_plot_create_copula.py` (``plot_create_copula.py``) | 00:00.001 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_copulas_plot_ordinal_sum_copula.py` (``plot_ordinal_sum_copula.py``) | 00:00.391 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_probabilistic_modeling_copulas_plot_extract_copula.py` (``plot_extract_copula.py``) | 00:00.001 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_probabilistic_modeling_copulas_plot_composed_copula.py` (``plot_composed_copula.py``) | 00:00.001 | 0.0 MB | +-----------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_probabilistic_modeling_copulas_plot_create_copula.py` (``plot_create_copula.py``) | 00:00.001 | 0.0 MB | ++-----------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_probabilistic_modeling/distributions/sg_execution_times.rst.txt b/openturns/master/_sources/auto_probabilistic_modeling/distributions/sg_execution_times.rst.txt index 8cb7b1bd074..3432fda693c 100644 --- a/openturns/master/_sources/auto_probabilistic_modeling/distributions/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_probabilistic_modeling/distributions/sg_execution_times.rst.txt @@ -6,44 +6,44 @@ Computation times ================= -**00:06.818** total execution time for **auto_probabilistic_modeling_distributions** files: +**00:05.963** total execution time for **auto_probabilistic_modeling_distributions** files: +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_quick_start_guide_distributions.py` (``plot_quick_start_guide_distributions.py``) | 00:01.075 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_quick_start_guide_distributions.py` (``plot_quick_start_guide_distributions.py``) | 00:00.864 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_draw_multivariate_distributions.py` (``plot_create_draw_multivariate_distributions.py``) | 00:00.892 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_draw_multivariate_distributions.py` (``plot_create_draw_multivariate_distributions.py``) | 00:00.822 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_minimum_volume_level_sets.py` (``plot_minimum_volume_level_sets.py``) | 00:00.717 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_minimum_volume_level_sets.py` (``plot_minimum_volume_level_sets.py``) | 00:00.612 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_distribution_transformation.py` (``plot_distribution_transformation.py``) | 00:00.672 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_distribution_transformation.py` (``plot_distribution_transformation.py``) | 00:00.602 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_order_statistics_distribution.py` (``plot_order_statistics_distribution.py``) | 00:00.540 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_order_statistics_distribution.py` (``plot_order_statistics_distribution.py``) | 00:00.498 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_truncated_distribution.py` (``plot_truncated_distribution.py``) | 00:00.416 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_truncated_distribution.py` (``plot_truncated_distribution.py``) | 00:00.370 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_overview_univariate_distributions.py` (``plot_overview_univariate_distributions.py``) | 00:00.405 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_overview_univariate_distributions.py` (``plot_overview_univariate_distributions.py``) | 00:00.362 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_distribution_manipulation.py` (``plot_distribution_manipulation.py``) | 00:00.320 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_distribution_manipulation.py` (``plot_distribution_manipulation.py``) | 00:00.276 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_extreme_value_distribution.py` (``plot_create_extreme_value_distribution.py``) | 00:00.315 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_extreme_value_distribution.py` (``plot_create_extreme_value_distribution.py``) | 00:00.259 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_and_draw_scalar_distributions.py` (``plot_create_and_draw_scalar_distributions.py``) | 00:00.267 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_and_draw_scalar_distributions.py` (``plot_create_and_draw_scalar_distributions.py``) | 00:00.243 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_random_mixture.py` (``plot_create_random_mixture.py``) | 00:00.265 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_random_mixture.py` (``plot_create_random_mixture.py``) | 00:00.230 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_bayes_distribution.py` (``plot_bayes_distribution.py``) | 00:00.214 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_bayes_distribution.py` (``plot_bayes_distribution.py``) | 00:00.188 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_mixture_distribution.py` (``plot_mixture_distribution.py``) | 00:00.195 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_mixture_distribution.py` (``plot_mixture_distribution.py``) | 00:00.177 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_generate_by_inversion.py` (``plot_generate_by_inversion.py``) | 00:00.176 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_generate_by_inversion.py` (``plot_generate_by_inversion.py``) | 00:00.156 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_python_distribution.py` (``plot_python_distribution.py``) | 00:00.126 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_python_distribution.py` (``plot_python_distribution.py``) | 00:00.101 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_conditional_distribution.py` (``plot_conditional_distribution.py``) | 00:00.096 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_conditional_distribution.py` (``plot_conditional_distribution.py``) | 00:00.087 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_your_own_dist.py` (``plot_create_your_own_dist.py``) | 00:00.069 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_create_your_own_dist.py` (``plot_create_your_own_dist.py``) | 00:00.060 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_maximum_distribution.py` (``plot_maximum_distribution.py``) | 00:00.059 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_maximum_distribution.py` (``plot_maximum_distribution.py``) | 00:00.056 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_probabilistic_modeling_distributions_plot_conditional_random_vector.py` (``plot_conditional_random_vector.py``) | 00:00.001 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_probabilistic_modeling/random_vectors/sg_execution_times.rst.txt b/openturns/master/_sources/auto_probabilistic_modeling/random_vectors/sg_execution_times.rst.txt index d7e616524da..a786dfc642a 100644 --- a/openturns/master/_sources/auto_probabilistic_modeling/random_vectors/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_probabilistic_modeling/random_vectors/sg_execution_times.rst.txt @@ -6,12 +6,12 @@ Computation times ================= -**00:00.007** total execution time for **auto_probabilistic_modeling_random_vectors** files: +**00:00.005** total execution time for **auto_probabilistic_modeling_random_vectors** files: +----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_random_vectors_plot_python_randomvector.py` (``plot_python_randomvector.py``) | 00:00.003 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_random_vectors_plot_random_vector_manipulation.py` (``plot_random_vector_manipulation.py``) | 00:00.002 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_random_vectors_plot_random_vector_manipulation.py` (``plot_random_vector_manipulation.py``) | 00:00.003 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_random_vectors_plot_python_randomvector.py` (``plot_python_randomvector.py``) | 00:00.002 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_probabilistic_modeling_random_vectors_plot_composite_random_vector.py` (``plot_composite_random_vector.py``) | 00:00.002 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/plot_create_mesh.rst.txt b/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/plot_create_mesh.rst.txt index 430de0352ce..a3e7e2a4ef7 100644 --- a/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/plot_create_mesh.rst.txt +++ b/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/plot_create_mesh.rst.txt @@ -386,11 +386,6 @@ Display figures -.. rst-class:: sphx-glr-timing - - **Total running time of the script:** (0 minutes 2.205 seconds) - - .. _sphx_glr_download_auto_probabilistic_modeling_stochastic_processes_plot_create_mesh.py: .. only:: html diff --git a/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/plot_gaussian_process_covariance_hmat.rst.txt b/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/plot_gaussian_process_covariance_hmat.rst.txt index 09d6e6d6bf6..21791a91664 100644 --- a/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/plot_gaussian_process_covariance_hmat.rst.txt +++ b/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/plot_gaussian_process_covariance_hmat.rst.txt @@ -228,7 +228,7 @@ Reset default settings .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 2.345 seconds) + **Total running time of the script:** (0 minutes 2.129 seconds) .. _sphx_glr_download_auto_probabilistic_modeling_stochastic_processes_plot_gaussian_process_covariance_hmat.py: diff --git a/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/plot_userdefined_covariance_model.rst.txt b/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/plot_userdefined_covariance_model.rst.txt index b9806ad615a..58021da69e7 100644 --- a/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/plot_userdefined_covariance_model.rst.txt +++ b/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/plot_userdefined_covariance_model.rst.txt @@ -157,7 +157,7 @@ Draw the covariance model .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 2.260 seconds) + **Total running time of the script:** (0 minutes 2.024 seconds) .. _sphx_glr_download_auto_probabilistic_modeling_stochastic_processes_plot_userdefined_covariance_model.py: diff --git a/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/sg_execution_times.rst.txt b/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/sg_execution_times.rst.txt index 037638744ba..30a5ae24980 100644 --- a/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_probabilistic_modeling/stochastic_processes/sg_execution_times.rst.txt @@ -6,54 +6,54 @@ Computation times ================= -**00:13.554** total execution time for **auto_probabilistic_modeling_stochastic_processes** files: +**00:11.931** total execution time for **auto_probabilistic_modeling_stochastic_processes** files: +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_gaussian_process_covariance_hmat.py` (``plot_gaussian_process_covariance_hmat.py``) | 00:02.345 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_gaussian_process_covariance_hmat.py` (``plot_gaussian_process_covariance_hmat.py``) | 00:02.129 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_userdefined_covariance_model.py` (``plot_userdefined_covariance_model.py``) | 00:02.260 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_userdefined_covariance_model.py` (``plot_userdefined_covariance_model.py``) | 00:02.024 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_create_mesh.py` (``plot_create_mesh.py``) | 00:02.205 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_create_mesh.py` (``plot_create_mesh.py``) | 00:01.944 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_field_manipulation.py` (``plot_field_manipulation.py``) | 00:01.874 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_field_manipulation.py` (``plot_field_manipulation.py``) | 00:01.574 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_box_cox_transform.py` (``plot_box_cox_transform.py``) | 00:01.070 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_box_cox_transform.py` (``plot_box_cox_transform.py``) | 00:00.909 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_gaussian_processes_comparison.py` (``plot_gaussian_processes_comparison.py``) | 00:00.776 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_gaussian_processes_comparison.py` (``plot_gaussian_processes_comparison.py``) | 00:00.670 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_process_manipulation.py` (``plot_process_manipulation.py``) | 00:00.471 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_process_manipulation.py` (``plot_process_manipulation.py``) | 00:00.424 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_random_walk_process.py` (``plot_random_walk_process.py``) | 00:00.308 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_random_walk_process.py` (``plot_random_walk_process.py``) | 00:00.284 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_create_and_manipulate_arma_process.py` (``plot_create_and_manipulate_arma_process.py``) | 00:00.298 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_create_and_manipulate_arma_process.py` (``plot_create_and_manipulate_arma_process.py``) | 00:00.266 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_discrete_markov_chain_process.py` (``plot_discrete_markov_chain_process.py``) | 00:00.293 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_discrete_markov_chain_process.py` (``plot_discrete_markov_chain_process.py``) | 00:00.253 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_kronecker_covmodel.py` (``plot_kronecker_covmodel.py``) | 00:00.268 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_kronecker_covmodel.py` (``plot_kronecker_covmodel.py``) | 00:00.249 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_export_field_vtk.py` (``plot_export_field_vtk.py``) | 00:00.173 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_mix_rv_process.py` (``plot_mix_rv_process.py``) | 00:00.156 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_mix_rv_process.py` (``plot_mix_rv_process.py``) | 00:00.162 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_white_noise_process.py` (``plot_white_noise_process.py``) | 00:00.148 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_white_noise_process.py` (``plot_white_noise_process.py``) | 00:00.160 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_export_field_vtk.py` (``plot_export_field_vtk.py``) | 00:00.128 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_create_normal_process.py` (``plot_create_normal_process.py``) | 00:00.149 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_add_trend.py` (``plot_add_trend.py``) | 00:00.125 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_add_trend.py` (``plot_add_trend.py``) | 00:00.146 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_create_normal_process.py` (``plot_create_normal_process.py``) | 00:00.124 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_trend_transform.py` (``plot_trend_transform.py``) | 00:00.129 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_trend_transform.py` (``plot_trend_transform.py``) | 00:00.119 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_aggregated_process.py` (``plot_aggregated_process.py``) | 00:00.124 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_timeseries_manipulation.py` (``plot_timeseries_manipulation.py``) | 00:00.107 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_timeseries_manipulation.py` (``plot_timeseries_manipulation.py``) | 00:00.114 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_aggregated_process.py` (``plot_aggregated_process.py``) | 00:00.106 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_functional_basis_process.py` (``plot_functional_basis_process.py``) | 00:00.086 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_functional_basis_process.py` (``plot_functional_basis_process.py``) | 00:00.068 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_user_stationary_covmodel.py` (``plot_user_stationary_covmodel.py``) | 00:00.071 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_user_stationary_covmodel.py` (``plot_user_stationary_covmodel.py``) | 00:00.064 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_userdefined_spectral_model.py` (``plot_userdefined_spectral_model.py``) | 00:00.069 | 0.0 MB | -+--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_parametric_spectral_density.py` (``plot_parametric_spectral_density.py``) | 00:00.002 | 0.0 MB | +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_userdefined_spectral_model.py` (``plot_userdefined_spectral_model.py``) | 00:00.058 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_create_stationary_covmodel.py` (``plot_create_stationary_covmodel.py``) | 00:00.001 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ +| :ref:`sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_parametric_spectral_density.py` (``plot_parametric_spectral_density.py``) | 00:00.001 | 0.0 MB | ++--------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_reliability_sensitivity/central_dispersion/sg_execution_times.rst.txt b/openturns/master/_sources/auto_reliability_sensitivity/central_dispersion/sg_execution_times.rst.txt index 2bd7dfd89b4..8302b51d177 100644 --- a/openturns/master/_sources/auto_reliability_sensitivity/central_dispersion/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_reliability_sensitivity/central_dispersion/sg_execution_times.rst.txt @@ -6,12 +6,12 @@ Computation times ================= -**00:00.636** total execution time for **auto_reliability_sensitivity_central_dispersion** files: +**00:00.597** total execution time for **auto_reliability_sensitivity_central_dispersion** files: +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_central_dispersion_plot_expectation_simulation_algorithm.py` (``plot_expectation_simulation_algorithm.py``) | 00:00.461 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_central_dispersion_plot_expectation_simulation_algorithm.py` (``plot_expectation_simulation_algorithm.py``) | 00:00.427 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_central_dispersion_plot_central_tendency.py` (``plot_central_tendency.py``) | 00:00.126 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_central_dispersion_plot_central_tendency.py` (``plot_central_tendency.py``) | 00:00.124 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_central_dispersion_plot_estimate_moments_taylor.py` (``plot_estimate_moments_taylor.py``) | 00:00.048 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_central_dispersion_plot_estimate_moments_taylor.py` (``plot_estimate_moments_taylor.py``) | 00:00.046 | 0.0 MB | +---------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_reliability_sensitivity/design_of_experiments/plot_smolyak_experiment.rst.txt b/openturns/master/_sources/auto_reliability_sensitivity/design_of_experiments/plot_smolyak_experiment.rst.txt index 709f791ad9d..ccf84d9f138 100644 --- a/openturns/master/_sources/auto_reliability_sensitivity/design_of_experiments/plot_smolyak_experiment.rst.txt +++ b/openturns/master/_sources/auto_reliability_sensitivity/design_of_experiments/plot_smolyak_experiment.rst.txt @@ -294,7 +294,7 @@ This growth depends on the dimension of the problem. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 2.111 seconds) + **Total running time of the script:** (0 minutes 2.575 seconds) .. _sphx_glr_download_auto_reliability_sensitivity_design_of_experiments_plot_smolyak_experiment.py: diff --git a/openturns/master/_sources/auto_reliability_sensitivity/design_of_experiments/plot_smolyak_quadrature.rst.txt b/openturns/master/_sources/auto_reliability_sensitivity/design_of_experiments/plot_smolyak_quadrature.rst.txt index 87b6b27fa1e..7e8bfe6785d 100644 --- a/openturns/master/_sources/auto_reliability_sensitivity/design_of_experiments/plot_smolyak_quadrature.rst.txt +++ b/openturns/master/_sources/auto_reliability_sensitivity/design_of_experiments/plot_smolyak_quadrature.rst.txt @@ -584,7 +584,7 @@ We can finally create the graph. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 7.411 seconds) + **Total running time of the script:** (0 minutes 8.529 seconds) .. _sphx_glr_download_auto_reliability_sensitivity_design_of_experiments_plot_smolyak_quadrature.py: diff --git a/openturns/master/_sources/auto_reliability_sensitivity/design_of_experiments/sg_execution_times.rst.txt b/openturns/master/_sources/auto_reliability_sensitivity/design_of_experiments/sg_execution_times.rst.txt index a19ccf998df..79f028e5620 100644 --- a/openturns/master/_sources/auto_reliability_sensitivity/design_of_experiments/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_reliability_sensitivity/design_of_experiments/sg_execution_times.rst.txt @@ -6,40 +6,40 @@ Computation times ================= -**00:14.663** total execution time for **auto_reliability_sensitivity_design_of_experiments** files: +**00:16.930** total execution time for **auto_reliability_sensitivity_design_of_experiments** files: +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_smolyak_quadrature.py` (``plot_smolyak_quadrature.py``) | 00:07.411 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_smolyak_quadrature.py` (``plot_smolyak_quadrature.py``) | 00:08.529 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_smolyak_experiment.py` (``plot_smolyak_experiment.py``) | 00:02.111 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_smolyak_experiment.py` (``plot_smolyak_experiment.py``) | 00:02.575 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_plot_design.py` (``plot_plot_design.py``) | 00:01.247 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_plot_design.py` (``plot_plot_design.py``) | 00:01.361 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_design_of_experiments.py` (``plot_design_of_experiments.py``) | 00:01.031 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_design_of_experiments.py` (``plot_design_of_experiments.py``) | 00:01.168 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_low_discrepancy_sequence.py` (``plot_low_discrepancy_sequence.py``) | 00:00.550 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_low_discrepancy_sequence.py` (``plot_low_discrepancy_sequence.py``) | 00:00.697 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_optimal_lhs.py` (``plot_optimal_lhs.py``) | 00:00.469 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_smolyak_merge.py` (``plot_smolyak_merge.py``) | 00:00.563 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_smolyak_merge.py` (``plot_smolyak_merge.py``) | 00:00.468 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_optimal_lhs.py` (``plot_optimal_lhs.py``) | 00:00.532 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_create_deterministic_doe.py` (``plot_create_deterministic_doe.py``) | 00:00.292 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_create_deterministic_doe.py` (``plot_create_deterministic_doe.py``) | 00:00.310 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_deterministic_design.py` (``plot_deterministic_design.py``) | 00:00.258 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_deterministic_design.py` (``plot_deterministic_design.py``) | 00:00.298 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_smolyak_indices.py` (``plot_smolyak_indices.py``) | 00:00.240 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_smolyak_indices.py` (``plot_smolyak_indices.py``) | 00:00.277 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_mixed_design.py` (``plot_mixed_design.py``) | 00:00.130 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_mixed_design.py` (``plot_mixed_design.py``) | 00:00.143 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_design_of_experiment_continuous_discrete.py` (``plot_design_of_experiment_continuous_discrete.py``) | 00:00.115 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_create_random_doe.py` (``plot_create_random_doe.py``) | 00:00.122 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_create_random_doe.py` (``plot_create_random_doe.py``) | 00:00.114 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_design_of_experiment_continuous_discrete.py` (``plot_design_of_experiment_continuous_discrete.py``) | 00:00.120 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_monte_carlo_experiment.py` (``plot_monte_carlo_experiment.py``) | 00:00.063 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_gauss_product_experiment.py` (``plot_gauss_product_experiment.py``) | 00:00.062 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_gauss_product_experiment.py` (``plot_gauss_product_experiment.py``) | 00:00.057 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_probabilistic_design.py` (``plot_probabilistic_design.py``) | 00:00.060 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_probabilistic_design.py` (``plot_probabilistic_design.py``) | 00:00.056 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_composite_experiment.py` (``plot_composite_experiment.py``) | 00:00.060 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_composite_experiment.py` (``plot_composite_experiment.py``) | 00:00.052 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_monte_carlo_experiment.py` (``plot_monte_carlo_experiment.py``) | 00:00.054 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_reliability_sensitivity/reliability/plot_estimate_probability_adaptive_directional_sampling.rst.txt b/openturns/master/_sources/auto_reliability_sensitivity/reliability/plot_estimate_probability_adaptive_directional_sampling.rst.txt index e4c3aac1ade..8340a73df51 100644 --- a/openturns/master/_sources/auto_reliability_sensitivity/reliability/plot_estimate_probability_adaptive_directional_sampling.rst.txt +++ b/openturns/master/_sources/auto_reliability_sensitivity/reliability/plot_estimate_probability_adaptive_directional_sampling.rst.txt @@ -218,7 +218,7 @@ Retrieve results. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 2.078 seconds) + **Total running time of the script:** (0 minutes 2.117 seconds) .. _sphx_glr_download_auto_reliability_sensitivity_reliability_plot_estimate_probability_adaptive_directional_sampling.py: diff --git a/openturns/master/_sources/auto_reliability_sensitivity/reliability/plot_estimate_probability_form_oscillator.rst.txt b/openturns/master/_sources/auto_reliability_sensitivity/reliability/plot_estimate_probability_form_oscillator.rst.txt index 87b8979b1c6..c8a2be23b43 100644 --- a/openturns/master/_sources/auto_reliability_sensitivity/reliability/plot_estimate_probability_form_oscillator.rst.txt +++ b/openturns/master/_sources/auto_reliability_sensitivity/reliability/plot_estimate_probability_form_oscillator.rst.txt @@ -725,7 +725,7 @@ We can see that this post-treatment of FORM result allows one to greatly improve .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 5.586 seconds) + **Total running time of the script:** (0 minutes 5.350 seconds) .. _sphx_glr_download_auto_reliability_sensitivity_reliability_plot_estimate_probability_form_oscillator.py: diff --git a/openturns/master/_sources/auto_reliability_sensitivity/reliability/sg_execution_times.rst.txt b/openturns/master/_sources/auto_reliability_sensitivity/reliability/sg_execution_times.rst.txt index 9040b4c4043..661d0f8663b 100644 --- a/openturns/master/_sources/auto_reliability_sensitivity/reliability/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_reliability_sensitivity/reliability/sg_execution_times.rst.txt @@ -6,56 +6,56 @@ Computation times ================= -**00:18.179** total execution time for **auto_reliability_sensitivity_reliability** files: +**00:17.970** total execution time for **auto_reliability_sensitivity_reliability** files: +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_form_oscillator.py` (``plot_estimate_probability_form_oscillator.py``) | 00:05.586 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_form_oscillator.py` (``plot_estimate_probability_form_oscillator.py``) | 00:05.350 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_adaptive_directional_sampling.py` (``plot_estimate_probability_adaptive_directional_sampling.py``) | 00:02.078 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_adaptive_directional_sampling.py` (``plot_estimate_probability_adaptive_directional_sampling.py``) | 00:02.117 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_proba_system_event.py` (``plot_proba_system_event.py``) | 00:01.749 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_proba_system_event.py` (``plot_proba_system_event.py``) | 00:01.797 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_crossentropy.py` (``plot_crossentropy.py``) | 00:01.406 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_crossentropy.py` (``plot_crossentropy.py``) | 00:01.497 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_randomized_qmc.py` (``plot_estimate_probability_randomized_qmc.py``) | 00:00.934 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_randomized_qmc.py` (``plot_estimate_probability_randomized_qmc.py``) | 00:00.925 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_form_explained.py` (``plot_form_explained.py``) | 00:00.831 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_form_explained.py` (``plot_form_explained.py``) | 00:00.802 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_subset_sampling.py` (``plot_subset_sampling.py``) | 00:00.752 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_subset_sampling.py` (``plot_subset_sampling.py``) | 00:00.727 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_event_system.py` (``plot_event_system.py``) | 00:00.654 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_event_system.py` (``plot_event_system.py``) | 00:00.688 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_create_domain_event.py` (``plot_create_domain_event.py``) | 00:00.643 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_directional_sampling.py` (``plot_estimate_probability_directional_sampling.py``) | 00:00.630 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_directional_sampling.py` (``plot_estimate_probability_directional_sampling.py``) | 00:00.616 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_create_domain_event.py` (``plot_create_domain_event.py``) | 00:00.627 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_axial_stressed_beam.py` (``plot_axial_stressed_beam.py``) | 00:00.551 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_axial_stressed_beam.py` (``plot_axial_stressed_beam.py``) | 00:00.533 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_multi_form.py` (``plot_multi_form.py``) | 00:00.517 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_multi_form.py` (``plot_multi_form.py``) | 00:00.480 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_nais.py` (``plot_nais.py``) | 00:00.441 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_nais.py` (``plot_nais.py``) | 00:00.436 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_axial_stressed_beam_quickstart.py` (``plot_axial_stressed_beam_quickstart.py``) | 00:00.397 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_axial_stressed_beam_quickstart.py` (``plot_axial_stressed_beam_quickstart.py``) | 00:00.385 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_form.py` (``plot_estimate_probability_form.py``) | 00:00.373 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_form.py` (``plot_estimate_probability_form.py``) | 00:00.347 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_importance_sampling.py` (``plot_estimate_probability_importance_sampling.py``) | 00:00.153 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_importance_sampling.py` (``plot_estimate_probability_importance_sampling.py``) | 00:00.148 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_probability_simulation_results.py` (``plot_probability_simulation_results.py``) | 00:00.146 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_probability_simulation_results.py` (``plot_probability_simulation_results.py``) | 00:00.144 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_flood_model.py` (``plot_flood_model.py``) | 00:00.125 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_flood_model.py` (``plot_flood_model.py``) | 00:00.121 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_create_threshold_event.py` (``plot_create_threshold_event.py``) | 00:00.082 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_create_threshold_event.py` (``plot_create_threshold_event.py``) | 00:00.076 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_monte_carlo.py` (``plot_estimate_probability_monte_carlo.py``) | 00:00.047 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_monte_carlo.py` (``plot_estimate_probability_monte_carlo.py``) | 00:00.046 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_probability_simulation_parametrization.py` (``plot_probability_simulation_parametrization.py``) | 00:00.044 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_probability_simulation_parametrization.py` (``plot_probability_simulation_parametrization.py``) | 00:00.042 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_lhs.py` (``plot_estimate_probability_lhs.py``) | 00:00.042 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_estimate_probability_lhs.py` (``plot_estimate_probability_lhs.py``) | 00:00.041 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_strong_maximum_test.py` (``plot_strong_maximum_test.py``) | 00:00.005 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_post_analytical_importance_sampling.py` (``plot_post_analytical_importance_sampling.py``) | 00:00.005 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_post_analytical_importance_sampling.py` (``plot_post_analytical_importance_sampling.py``) | 00:00.004 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_reliability_sensitivity_reliability_plot_event_manipulation.py` (``plot_event_manipulation.py``) | 00:00.002 | 0.0 MB | +--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_reliability_sensitivity/reliability_processes/plot_field_fca_sobol.rst.txt b/openturns/master/_sources/auto_reliability_sensitivity/reliability_processes/plot_field_fca_sobol.rst.txt index 0e204641e50..fec1d681f0a 100644 --- a/openturns/master/_sources/auto_reliability_sensitivity/reliability_processes/plot_field_fca_sobol.rst.txt +++ b/openturns/master/_sources/auto_reliability_sensitivity/reliability_processes/plot_field_fca_sobol.rst.txt @@ -521,7 +521,7 @@ Reset default settings .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 6.588 seconds) + **Total running time of the script:** (0 minutes 6.915 seconds) .. _sphx_glr_download_auto_reliability_sensitivity_reliability_processes_plot_field_fca_sobol.py: diff --git a/openturns/master/_sources/auto_reliability_sensitivity/reliability_processes/sg_execution_times.rst.txt b/openturns/master/_sources/auto_reliability_sensitivity/reliability_processes/sg_execution_times.rst.txt index ddef827f78d..dabde49f7a1 100644 --- a/openturns/master/_sources/auto_reliability_sensitivity/reliability_processes/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_reliability_sensitivity/reliability_processes/sg_execution_times.rst.txt @@ -6,12 +6,12 @@ Computation times ================= -**00:06.770** total execution time for **auto_reliability_sensitivity_reliability_processes** files: +**00:07.102** total execution time for **auto_reliability_sensitivity_reliability_processes** files: +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_processes_plot_field_fca_sobol.py` (``plot_field_fca_sobol.py``) | 00:06.588 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_processes_plot_field_fca_sobol.py` (``plot_field_fca_sobol.py``) | 00:06.915 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_processes_plot_estimate_probability_monte_carlo_process.py` (``plot_estimate_probability_monte_carlo_process.py``) | 00:00.179 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_reliability_processes_plot_estimate_probability_monte_carlo_process.py` (``plot_estimate_probability_monte_carlo_process.py``) | 00:00.186 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_auto_reliability_sensitivity_reliability_processes_plot_event_process.py` (``plot_event_process.py``) | 00:00.002 | 0.0 MB | +----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/auto_reliability_sensitivity/sensitivity_analysis/plot_sensitivity_wingweight.rst.txt b/openturns/master/_sources/auto_reliability_sensitivity/sensitivity_analysis/plot_sensitivity_wingweight.rst.txt index 56072bfe0af..b71c5d071ee 100644 --- a/openturns/master/_sources/auto_reliability_sensitivity/sensitivity_analysis/plot_sensitivity_wingweight.rst.txt +++ b/openturns/master/_sources/auto_reliability_sensitivity/sensitivity_analysis/plot_sensitivity_wingweight.rst.txt @@ -1188,7 +1188,7 @@ We can also see that the asymptotic p-values and p-values estimated by permutati .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 5.525 seconds) + **Total running time of the script:** (0 minutes 6.281 seconds) .. _sphx_glr_download_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_wingweight.py: diff --git a/openturns/master/_sources/auto_reliability_sensitivity/sensitivity_analysis/sg_execution_times.rst.txt b/openturns/master/_sources/auto_reliability_sensitivity/sensitivity_analysis/sg_execution_times.rst.txt index dc0ddbfcfc0..1d7a44b20c4 100644 --- a/openturns/master/_sources/auto_reliability_sensitivity/sensitivity_analysis/sg_execution_times.rst.txt +++ b/openturns/master/_sources/auto_reliability_sensitivity/sensitivity_analysis/sg_execution_times.rst.txt @@ -6,22 +6,22 @@ Computation times ================= -**00:08.733** total execution time for **auto_reliability_sensitivity_sensitivity_analysis** files: +**00:09.585** total execution time for **auto_reliability_sensitivity_sensitivity_analysis** files: +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_wingweight.py` (``plot_sensitivity_wingweight.py``) | 00:05.525 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_wingweight.py` (``plot_sensitivity_wingweight.py``) | 00:06.281 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_functional_chaos_sensitivity.py` (``plot_functional_chaos_sensitivity.py``) | 00:00.960 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_functional_chaos_sensitivity.py` (``plot_functional_chaos_sensitivity.py``) | 00:00.920 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_par_coo.py` (``plot_sensitivity_par_coo.py``) | 00:00.801 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_par_coo.py` (``plot_sensitivity_par_coo.py``) | 00:00.821 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_hsic_estimators_ishigami.py` (``plot_hsic_estimators_ishigami.py``) | 00:00.728 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_hsic_estimators_ishigami.py` (``plot_hsic_estimators_ishigami.py``) | 00:00.770 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_sobol.py` (``plot_sensitivity_sobol.py``) | 00:00.422 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_sobol.py` (``plot_sensitivity_sobol.py``) | 00:00.452 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_ancova.py` (``plot_sensitivity_ancova.py``) | 00:00.117 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_ancova.py` (``plot_sensitivity_ancova.py``) | 00:00.132 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_sobol_multivariate.py` (``plot_sensitivity_sobol_multivariate.py``) | 00:00.104 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_fast.py` (``plot_sensitivity_fast.py``) | 00:00.106 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_fast.py` (``plot_sensitivity_fast.py``) | 00:00.077 | 0.0 MB | +| :ref:`sphx_glr_auto_reliability_sensitivity_sensitivity_analysis_plot_sensitivity_sobol_multivariate.py` (``plot_sensitivity_sobol_multivariate.py``) | 00:00.103 | 0.0 MB | +-------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/openturns/master/_sources/theory/meta_modeling/taylor_expansion.rst.txt b/openturns/master/_sources/theory/meta_modeling/taylor_expansion.rst.txt index 68da2d9cd0a..f202e3193d3 100644 --- a/openturns/master/_sources/theory/meta_modeling/taylor_expansion.rst.txt +++ b/openturns/master/_sources/theory/meta_modeling/taylor_expansion.rst.txt @@ -1,57 +1,73 @@ .. _taylor_expansion: -Linear and Quadratic Taylor Expansions --------------------------------------- -| The approximation of the model response - :math:`\underline{y} = h(\underline{x})` around a specific set - :math:`\underline{x}_0 = (x_{0,1},\dots,x_{0,n_{X}})` of input - parameters may be of interest. One may then substitute :math:`h` for - its Taylor expansion at point :math:`\underline{x}_0`. Hence :math:`h` - is replaced with a first or second-order polynomial - :math:`\widehat{h}` whose evaluation is inexpensive, allowing the - analyst to apply the uncertainty propagation methods. -| We consider the first and second order Taylor expansions around - :math:`\ux=\underline{x}_0`. +Let :math:`h: \Rset^d \rightarrow \Rset^q` be a function, let :math:`\ux \in \Rset^{n_X}` +be an input point and let :math:`\uy=h(\ux)` be the corresponding output. - .. math:: +First-order Taylor expansion +---------------------------- - \underline{y} \, \, \approx \, \, \widehat{h}(\underline{x}) \, \, = \, \, h(\underline{x}_0) \, + \, \sum_{i=1}^{n_{X}} \; \frac{\partial h}{\partial x_i}(\underline{x}_0).\left(x_i - x_{0,i} \right) +The first-order Taylor expansion of :math:`h` at the point :math:`\ux_0` is the function +:math:`\widehat{h}: \Rset^d \rightarrow \Rset^q` defined for each marginal function +:math:`h_k` of :math:`h` by the equation: -Introducing a vector notation, the previous equation rewrites: +.. math:: + + \widehat{h}_k(\ux) = h_k(\ux_0) + \sum_{i=1}^{d} \left(\frac{\partial h_k}{\partial x_i}\right)(\ux_0)\left(x_i - x_{0,i} \right) + +for :math:`k \in \{1, ..., q\}` which can be written as: + +.. math:: + + \widehat{h}(\ux) = h(\ux_0) + \mat{L} (\ux-\ux_0) + + +where :math:`\mat{L} = (L_{ij})_{1 \leq i \leq q, 1\leq j \leq d}` is the Jacobian +matrix evaluated at the point :math:`\ux_0`: + +.. math:: + + L_{ij} = \left(\frac{\partial h_i}{\partial x_i}\right)(\ux_0) + +for :math:`i \in \{1, ..., q\}` and :math:`j \in \{1, ..., d\}`. + + +Second-order Taylor expansion +----------------------------- + +The second-order Taylor expansion of :math:`h` at the point :math:`\ux_0` is the function +:math:`\widehat{h}: \Rset^d \rightarrow \Rset^q` defined for each marginal function +:math:`h_k` of :math:`h` by the equation: .. math:: - \underline{y} \, \, \approx \, \, \underline{y}_0 \, + \, \underline{\underline{L}} \: \left(\underline{x}-\underline{x}_0\right) + \widehat{h}_k(\ux) = h_k(\ux_0) + \sum_{i=1}^{d} \left(\frac{\partial h_k}{\partial x_i}\right)(\ux_0) + \left(x_i - x_{0,i} \right) + \frac{1}{2} \sum_{i,j = 1}^d \left( \frac{\partial^2 h_k}{\partial x_i + \partial x_j}\right)(\ux_0)(x_i-x_{0,i})(x_j-x_{0,j}) -where: -- :math:`\underline{y_0} = (y_{0,1} , \dots, y_{0,n_Y})^{\textsf{T}}= h(\underline{x}_0)` - is the vector model response evaluated at :math:`\underline{x}_0`; +which can be written as: -- :math:`\underline{x}` is the current set of input parameters; +.. math:: -- :math:`\underline{\underline{L}} = \left( \frac{\partial y_{0,j}}{\partial x_i} \, \, , \, \, i=1,\ldots, n_X \, \, , \, \, j=1, \ldots, n_Y \right)` - is the transposed Jacobian matrix evaluated at - :math:`\underline{x}_0`. + \widehat{h}(\ux) = h(\ux_0) + \mat{L} (\ux-\ux_0) + \frac{1}{2} \left\langle \left\langle\mat{Q},\ux- + \ux_0 \right \rangle, \ux-\ux_0 \right \rangle - .. math:: - \begin{aligned} - \underline{y} \, \, \approx \, \, \widehat{h}(\underline{x}) \, \, = \, \, - h(\underline{x}_0) \, + \, \sum_{i=1}^{n_{X}} \; \frac{\partial h}{\partial x_i}(\underline{x}_0).\left(x_i - x_{0,i} \right) \, + \, \frac{1}{2} \; \sum_{i,j=1}^{n_X} \; \frac{\partial^2 h}{\partial x_i \partial x_j}(\underline{x}_0).\left(x_i - x_{0,i} \right).\left(x_j - x_{0,j} \right) - \end{aligned} +where :math:`\mat{Q} = (Q_{ijk})_{1 \leq i,j \leq d, 1\leq k \leq q}` is the Hessian tensor of order 3 evaluated at :math:`\ux_0`: -Introducing a vector notation, the previous equation rewrites: .. math:: - \underline{y} \, \, \approx \, \, \underline{y}_0 \, + \, \underline{\underline{L}} \: \left(\underline{x}-\underline{x}_0\right) \, + \, \frac{1}{2} \; \left\langle \left\langle\underline{\underline{\underline{Q}}}\:,\underline{x}-\underline{x}_0 \right\rangle,\:\underline{x}-\underline{x}_0 \right\rangle + Q_{ijk} = \left(\frac{\partial^2 h_k}{\partial x_i\partial x_j}\right)(\ux_0) + +for :math:`i, j \in \{1, ..., d\}` and :math:`k \in \{1, ..., q\}`. + +The first and second order Taylor expansions are used in the following cases: -where -:math:`\underline{\underline{Q}} = \left\{ \frac{\partial^2 y_{0,k}}{\partial x_i \partial x_j} \, \, , \, \, i,j=1,\ldots, n_X \, \, , \, \, k=1, \ldots, n_Y \right\}` -is the transposed Hessian matrix. +- to evaluate the importance factors of the input point on the output: refer to :ref:`taylor_importance_factors`, +- to get an approximation of the mean and the variance of the output: refer to :ref:`taylor_expansion_moments`. .. topic:: API: diff --git a/openturns/master/_sources/theory/numerical_methods/nataf_transformation.rst.txt b/openturns/master/_sources/theory/numerical_methods/nataf_transformation.rst.txt index 74fb084107d..8be49bb8267 100644 --- a/openturns/master/_sources/theory/numerical_methods/nataf_transformation.rst.txt +++ b/openturns/master/_sources/theory/numerical_methods/nataf_transformation.rst.txt @@ -135,7 +135,7 @@ the standard normal distribution with independent components. .. topic:: API: - - See the available :ref:`Nataf transformations `. + - See the available :ref:`Nataf transformations `. .. topic:: References: diff --git a/openturns/master/_sources/theory/reliability_sensitivity/importance_form.rst.txt b/openturns/master/_sources/theory/reliability_sensitivity/importance_form.rst.txt index 661c0ee249e..b460ebb0d16 100644 --- a/openturns/master/_sources/theory/reliability_sensitivity/importance_form.rst.txt +++ b/openturns/master/_sources/theory/reliability_sensitivity/importance_form.rst.txt @@ -23,7 +23,7 @@ input components with respect to the realization of the event. They are often se of the impact of modeling the input components as random variables rather than fixed values. FORM importance factors are defined as follows. -The :ref:`isoprobabilistic transformation ` :math:`T` used in the FORM and +The :ref:`isoprobabilistic transformation ` :math:`T` used in the FORM and SORM approximation is a diffeomorphism from :math:`\supp{\vect{X}}` into :math:`\Rset^n`, such that the distribution of the random vector :math:`\vect{U}=T(\vect{X})` has the diff --git a/openturns/master/_sources/theory/reliability_sensitivity/taylor_importance_factors.rst.txt b/openturns/master/_sources/theory/reliability_sensitivity/taylor_importance_factors.rst.txt index 0a03e88a150..d8b57636b77 100644 --- a/openturns/master/_sources/theory/reliability_sensitivity/taylor_importance_factors.rst.txt +++ b/openturns/master/_sources/theory/reliability_sensitivity/taylor_importance_factors.rst.txt @@ -1,79 +1,35 @@ .. _taylor_importance_factors: -Taylor decomposition importance factors ---------------------------------------- +Taylor importance factors +------------------------- The importance factors derived from a Taylor expansion are -defined to rank the sensitivity of the inputs to -the output for central dispersion analysis. +defined to rank the sensitivity of the output to +the inputs for central dispersion analysis. -Let us denote by :math:`\uX` the input random vector. -Assume that the marginals of :math:`\uX` are independent. -Suppose that :math:`Z = h(\ux)` is a real function of the -input, i.e. :math:`n_Z = 1`. -Assume that the order 1 Taylor expansion of the function :math:`h` -at the point :math:`\ux = \muX` is exact, i.e.: +We consider the Taylor expansion of a function. We use the notations introduced in +:ref:`Taylor Expansion `. Let :math:`\uX` be the input random vector. We assume that +the marginals of :math:`\uX` are independent. Let :math:`Y = h(\ux)` with +:math:`h: \Rset^d \rightarrow \Rset` be a function with a scalar output. -.. math:: - h(\ux) = h(\muX) - + \sum_{i=1}^{n_X} \frac{\partial h}{\partial x_i} (\muX) (x_i - \mu_i) - -where: - -- :math:`\muX` is the mean of the input random vector, - -- :math:`\frac{\partial h}{\partial x_i} (\muX)` - is the partial derivative of the model :math:`h` - with respect to the i-th input variable, - evaluated at the point :math:`\ux`. - -Therefore the expectation of :math:`Z` is: +Refer to :ref:`Taylor Expansion ` for details on the expressions +of the first-order and second-order Taylor expansions and to +:ref:`Taylor Expansion Moments ` for +details on the approximations of the mean and the variance of :math:`Y`. -.. math:: - \Expect{Z} = h(\muX). - -The independence of the marginals implies: +The importance factor of :math:`X_i` is defined by: .. math:: - \Var Z = \sum_{i=1}^{n_X} \left(\frac{\partial h}{\partial x_i} (\muX)\right)^2 \sigma_i^2 - -where: -- :math:`\Var Z` is the variance of the output variable, + \eta_i = \frac{ \left(\frac{\partial h}{\partial x_i}(\vect{\mu})\right)^2 \sigma_i^2}{\Var Y}. -- :math:`\sigma_i^2 = \Var X_i` is the variance of the i-th input variable. - -Let :math:`\eta_i` be the importance factor of the i-th input -variable, defined by: +If the model is linear (i.e. if the model is equal to its first-order Taylor expansion), then the importance factors sum to one: .. math:: - \eta_i = \frac{\left(\frac{\partial h}{\partial x_i} (\muX)\right)^2 \sigma_i^2}{\Var Z}. -Therefore, the importance factors sum to one: + \eta_1 + \eta_2 + \ldots + \eta_{d} = 1 -.. math:: - \eta_1 + \eta_2 + \ldots + \eta_{n_X} = 1 - -| Each coefficient :math:`\frac{\partial h(\ux)}{\partial x^i}` is a - linear estimate of the number of units change in the variable - :math:`y=h(\ux)` as a result of a unit change in the variable - :math:`x^i`. This first term depends on the physical units of the - variables and is meaningful only when the units of the model are - known. In the general case, as the variables have different physical - units, if :math:`i\neq j`, it is not possible to compare - :math:`\frac{\partial h(\ux)}{\partial x_i}` with - :math:`\frac{\partial h(\ux)}{\partial x_j}`. - This is the reason why the importance factor are - normalized. These factors enable to make the results - comparable independently of the original units of the inputs of the - model. -| To summarize, the coefficients :math:`\cF_1, ..., \cF_{n_X}` - represent a linear estimate of the change in the output variable - :math:`z = h(\ux)` caused by a small change in the input variable - :math:`x_i`. The importance factors are independent of the original - units of the model, and are comparable with each other. - -These are also called importance factors derived from perturbation methods. +These importance factors are also called *importance factors derived from perturbation methods*. .. topic:: API: diff --git a/openturns/master/_sources/theory/reliability_sensitivity/taylor_moments.rst.txt b/openturns/master/_sources/theory/reliability_sensitivity/taylor_moments.rst.txt index c785acd92eb..84ffcf5847d 100644 --- a/openturns/master/_sources/theory/reliability_sensitivity/taylor_moments.rst.txt +++ b/openturns/master/_sources/theory/reliability_sensitivity/taylor_moments.rst.txt @@ -1,144 +1,105 @@ -Taylor variance decomposition ------------------------------ - -| The Taylor variance decomposition (also referred as quadratic cumul method - or perturbation method) is a probabilistic approach designed to propagate - the uncertainties of the input variables :math:`\uX` through the model - :math:`h` towards the output variables :math:`\uY`. It enables to - access the central dispersion (expectation and variance) of the output - variables. -| This method is based on a Taylor decomposition of the output variable - :math:`\uY` towards the :math:`\uX` random vectors around the mean - point :math:`\muX`. Depending on the order of the Taylor decomposition - (classically first order or second order), one can obtain different - formulas. For easiness of the reading, we first present the formulas - with :math:`n_Y=1` before the ones obtained for :math:`n_Y > 1`. -| As :math:`Y=h(\uX)`, the Taylor decomposition around - :math:`\ux = \muX` at the second order yields to: - -| **Case** :math:`n_Y=1` +.. _taylor_expansion_moments: -.. math:: +Taylor expansion moments +------------------------ - Y = h(\muX) + < \underline{\nabla} h(\muX) , \: \uX - \muX> + \frac{1}{2}<<\underline{\underline{\nabla }}^2 h(\muX,\: \underline{\mu}_{\:X}),\: \uX - \muX>,\: \uX - \muX> + o(\Cov \uX) +In this page, we consider the Taylor expansion of a function. +One way to evaluate the central dispersion (expectation and variance) of the variable :math:`\uY=h(\uX)` +is to use the Taylor expansion of the function :math:`h: \Rset^d \rightarrow \Rset^q` at +the mean point :math:`\vect{\mu} = \Expect{\uX}`. Depending on the order of the Taylor expansion (classically first or second order), we get different approximations +of the mean and variance of :math:`Y`. -where: +We use the notations introduced in :ref:`Taylor Expansion `. -- :math:`\muX = \Expect{\uX}` is the vector of the input variables at - the mean values of each component. +In the remainder, let :math:`\Cov \uX` be the covariance matrix of :math:`\uX`, defined by: -- :math:`\Cov \uX` is the covariance matrix of the random vector - :math:`\uX`. The elements are the followings : - :math:`(\Cov \uX)_{ij} = \Expect{\left(X^i - \Expect{X^i} \right)\times\left(X^j - \Expect{X^j} \right)}` +.. math:: -- :math:`\underline{\nabla} h(\muX) = \: ^t \left( \frac{\partial y}{\partial x^j}\right)_{\ux\: =\: \muX} = \: ^t \left( \frac{\partial h(\ux)}{\partial x^j}\right)_{\ux\: =\: \muX}` - is the gradient vector taken at the value :math:`\ux = \muX` and - :math:`j=1,\ldots,n_X`. + \Cov \uX = \mat{C} -- :math:`\underline{\underline{\nabla}}^2 h(\ux,\ux)` is a matrix. It - is composed by the second order derivative of the output variable - towards the :math:`i^\textrm{th}` and :math:`j^\textrm{th}` - components of :math:`\ux` taken around :math:`\ux = \muX`. It yields - to: - :math:`\left( \nabla^2 h(\muX,\muX) \right)_{ij} =\left( \frac{\partial^2 h(\ux,\ux)}{\partial x^i \partial x^j}\right)_{\ux\: =\: \muX}` -- :math:`<,>` is a scalar product between two vectors. +where :math:`\mat{C} \in \Rset^{n_X \times n_X}` is the input covariance matrix: -| **Approximation at the order 1 - Case** :math:`n_Y=1` +.. math:: - .. math:: + c_{ij} = \Expect{\left(X_i - \Expect{X_i}\right)\left(X_j - \Expect{X_j} \right)} - \Expect{Y} = h(\muX) +with :math:`c_{ii} = \sigma_i^2`. - .. math:: - \Var{Y} = \sum_{i,j=1}^{n_X} \frac{\partial h(\muX)}{\partial X^i} . \frac{\partial h(\muX)}{\partial X^j}.(\Cov \uX)_{ij} +Case 1: :math:`q=1`, :math:`Y = h(\vect{X}) \in \Rset` +------------------------------------------------------ -| **Approximation at the order 2 - Case** :math:`n_Y=1` +The second-order Taylor expansion of :math:`h` at the point :math:`\ux = \vect{\mu}` is: - .. math:: +.. math:: - \begin{aligned} - \begin{split} - \Expect{Y} = h(\muX) + \frac{1}{2}. \sum_{i,j=1}^{n_X} \frac{\partial^2 h(\muX,\muX)}{\partial x^i \partial x^j} . (\Cov \uX)_{ij} - \end{split} - \end{aligned} + y = h(\vect{\mu}) + \sum_{i = 1}^d \left( \frac{\partial h}{\partial x_i }\right)(\vect{\mu})(x_i-\mu_i) + + \frac{1}{2} \sum_{i,j = 1}^d \left(\frac{\partial^2 h}{\partial x_i \partial x_j}\right)(\vect{\mu}) + (x_i-\mu_i)(x_j-\mu_j) + o\left(\|\vect{x}\|^2\right). -| The decomposition of the variance at the order 2 is not implemented. - It requires both the knowledge of higher order derivatives of the model - and the knowledge of moments of order strictly greater than 2 of the pdf. -| **Case** :math:`n_Y>1` +The expectation and variance of the first-order expansion are: + .. math:: -| The perturbation approach can be developed at different orders - from the Taylor decomposition of the random vector :math:`\uY`. As - :math:`\uY=h(\uX)`, the Taylor decomposition around :math:`\ux = \muX` - at the second order yields to: + \Expect{Y} \approx h(\vect{\mu})\\ + \Var{Y} \approx \sum_{i=1}^{d} \sigma_i^2 \left(\left(\frac{\partial h}{\partial x_i} + \right)(\vect{\mu}) \right)^2 - .. math:: - \uY = h(\muX) + <\underline{\underline{\nabla}}h(\muX) , \: \uX - \muX> + \frac{1}{2}<<\underline{\underline{\underline{\nabla }}}^2 h(\muX,\: \underline{\mu}_{\:X}),\: \uX - \muX>,\: \uX - \muX> + o(\Cov \uX) +The expectation of the second-order expansion is: -where: + .. math:: -- :math:`\muX = \Expect{\uX}` is the vector of the input variables at - the mean values of each component. + \Expect{Y} \approx h (\vect{\mu}) + \frac{1}{2} \sum_{i,j=1}^{d} c_{ij}\left(\frac{\partial^2 h} + {\partial x_i \partial x_j}\right)(\vect{\mu}). -- :math:`\Cov \uX` is the covariance matrix of the random vector - :math:`\uX`. The elements are the followings : - :math:`(\Cov \uX)_{ij} = \Expect{\left(X^i - \Expect{X^i} \right)^2}` -- :math:`\underline{\underline{\nabla}} h(\muX) = \: ^t \left( \frac{\partial y^i}{\partial x^j}\right)_{\ux\: =\: \muX} = \: ^t \left( \frac{\partial h^i(\ux)}{\partial x^j}\right)_{\ux\: =\: \muX}` - is the transposed Jacobian matrix with :math:`i=1,\ldots,n_Y` and - :math:`j=1,\ldots,n_X`. +The second-order approximation of the variance is not implemented because it requires both the knowledge of higher +order derivatives of :math:`h` and the knowledge of moments of order strictly greater +than 2 of the distribution of :math:`\uX`. -- :math:`\underline{\underline{\underline{\nabla^2}}} h(\ux\:,\ux)` is - a tensor of order 3. It is composed by the second order derivative - towards the :math:`i^\textrm{th}` and :math:`j^\textrm{th}` - components of :math:`\ux` of the :math:`k^\textrm{th}` component of - the output vector :math:`h(\ux)`. It yields to: - :math:`\left( \nabla^2 h(\ux) \right)_{ijk} = \frac{\partial^2 (h^k(\ux))}{\partial x^i \partial x^j}` -- :math:`<\underline{\underline{\nabla}}h(\muX) , \: \uX - \muX> = \sum_{j=1}^{n_X} \left( \frac{\partial {\uy}}{\partial {x^j}}\right)_{\ux = \muX} . \left( X^j-\muX^j \right)` +Case 2: :math:`q>1`, :math:`Y =(Y_1, \dots, Y_q) \in \Rset^q` +------------------------------------------------------------- -- :math:`<<\underline{\underline{\underline{\nabla }}}^2 h(\muX,\: \underline{\mu}_{X}),\: \uX - \muX>,\: \uX - \muX> = - \left( ^t (\uX^i - \muX^i). \left(\frac{\partial^2 y^k}{\partial x^i \partial x^k}\right)_{\ux = \muX}. (\uX^j - \muX^j) \right)_{ijk}` +The second-order Taylor expansion of :math:`h = (h_1, \dots, h_q)` at the point +:math:`\ux = \vect{\mu}` for each marginal function :math:`h_k` is: -| **Approximation at the order 1 - Case** :math:`n_Y>1` +.. math:: - .. math:: + y_k = h_k(\vect{\mu}) + \sum_{i = 1}^d \left( \frac{\partial h_k}{\partial x_i }\right)(\vect{\mu}) + (x_i-\mu_i)+ \frac{1}{2} \sum_{i,j = 1}^d \left( \frac{\partial^2 h_k}{\partial x_i \partial + x_j}\right)(\vect{\mu})(x_i-\mu_i)(x_j-\mu_j) + o(\|\vect{x}\|^2). - \Expect{\uY} \approx \underline{h}(\muX) - Pay attention that :math:`\Expect{\uY}` is a vector. The - :math:`k^\textrm{th}` component of this vector is equal to the - :math:`k^\textrm{th}` component of the output vector computed by the - model :math:`h` at the mean value. :math:`\Expect{\uY}` is thus the - computation of the model at mean. +where :math:`1\leq k \leq q`. -.. math:: +The expectation and covariance matrix of the first-order expansion are: - \Cov \uY \approx ^t\underline{\underline{\nabla}}\:\underline{h}(\muX).\Cov \uX.\underline{\underline{\nabla}}\:\underline{h}(\muX) -| **Approximation at the order 2 - Case** :math:`n_Y>1` + .. math:: -.. math:: + \Expect{\uY} \approx h(\vect{\mu})\\ + \Cov \uY \approx \left( \sum_{i,j=1}^{d} c_{ij} \left( \frac{\partial h_k}{\partial x_i } + \right)(\vect{\mu})\left( \frac{\partial h_\ell}{\partial x_j }\right)(\vect{\mu})\right)_{k, + \ell} - \Expect{\uY} \approx \underline{h}(\muX) + \frac{1}{2}.\underline{\underline{\underline{\nabla}}}^2 \underline{\underline{h}}(\muX,\muX) \odot \Cov \uX -This last formulation is the reduced writing of the following -expression: +The expectation of the second-order expansion is: .. math:: - (\Expect{\uY})_k \approx (\underline{h}(\muX))_k + \left( \sum_{i=1}^{n_X}\frac{1}{2} (\Cov \uX)_{ii}.{(\nabla^2\:h(\uX))}_{iik} + \sum_{i=1}^{n_X} \sum_{j=1}^{i-1} (\Cov X)_{ij}.{(\nabla^2\:h(\uX))}_{ijk} \right)_k + (\Expect{\uY})_k \approx \Expect{Y_k} \approx h_k(\vect{\mu}) + \frac{1}{2} \sum_{i,j=1}^{d} c_{ij}\left( + \frac{\partial^2 h_k}{\partial x_i \partial x_j}\right)(\vect{\mu}) + + +The second-order approximation of the variance is not implemented because it requires both the +knowledge of higher order derivatives of :math:`h` and the knowledge of moments of order strictly greater +than 2 of the probability density function. -The decomposition of the variance at the order 2 is not implemented. -It requires both the knowledge of -higher order derivatives of the model and the knowledge of moments of -order strictly greater than 2 of the pdf. .. topic:: API: diff --git a/openturns/master/_sources/user_manual/response_surface/parametric_approximation.rst.txt b/openturns/master/_sources/user_manual/response_surface/parametric_approximation.rst.txt index 803eb69405e..280a1aee546 100644 --- a/openturns/master/_sources/user_manual/response_surface/parametric_approximation.rst.txt +++ b/openturns/master/_sources/user_manual/response_surface/parametric_approximation.rst.txt @@ -7,7 +7,7 @@ Response surface: Parametric approximation Taylor approximation ==================== -Refer to :ref:`taylor_expansion`. +Refer to :ref:`Taylor expansion `. .. autosummary:: :toctree: _generated/ diff --git a/openturns/master/auto_calibration/bayesian_calibration/plot_gibbs.html b/openturns/master/auto_calibration/bayesian_calibration/plot_gibbs.html index 99933484bd0..9bafab5aa30 100644 --- a/openturns/master/auto_calibration/bayesian_calibration/plot_gibbs.html +++ b/openturns/master/auto_calibration/bayesian_calibration/plot_gibbs.html @@ -245,7 +245,7 @@

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