ReliabilityΒΆ
![](../../_images/sphx_glr_plot_estimate_probability_lhs_thumb.png)
Estimate a probability with Latin Hypercube Sampling
Estimate a probability with Latin Hypercube Sampling
![](../../_images/sphx_glr_plot_estimate_probability_adaptive_directional_sampling_thumb.png)
Use the Adaptive Directional Stratification Algorithm
Use the Adaptive Directional Stratification Algorithm
![](../../_images/sphx_glr_plot_post_analytical_importance_sampling_thumb.png)
Use the post-analytical importance sampling algorithm
Use the post-analytical importance sampling algorithm
![](../../_images/sphx_glr_plot_axial_stressed_beam_quickstart_thumb.png)
Estimate a probability with Monte-Carlo on axial stressed beam: a quick start guide to reliability
Estimate a probability with Monte-Carlo on axial stressed beam: a quick start guide to reliability
![](../../_images/sphx_glr_plot_multi_form_thumb.png)
Use the FORM algorithm in case of several design points
Use the FORM algorithm in case of several design points
![](../../_images/sphx_glr_plot_nais_thumb.png)
Non parametric Adaptive Importance Sampling (NAIS)
Non parametric Adaptive Importance Sampling (NAIS)
![](../../_images/sphx_glr_plot_strong_maximum_test_thumb.png)
Test the design point with the Strong Maximum Test
Test the design point with the Strong Maximum Test
![](../../_images/sphx_glr_plot_axial_stressed_beam_thumb.png)
Axial stressed beam : comparing different methods to estimate a probability
Axial stressed beam : comparing different methods to estimate a probability
![](../../_images/sphx_glr_plot_form_explained_thumb.png)
An illustrated example of a FORM probability estimate
An illustrated example of a FORM probability estimate