Metamodel of a field function

Evaluate the mean of a random vector by simulations

Evaluate the mean of a random vector by simulations¶

Analyse the central tendency of a cantilever beam¶

Estimate moments from Taylor expansions¶

Estimate a probability with Latin Hypercube Sampling¶

Simulate an Event¶

Estimate a probability with Monte Carlo¶

Use a randomized QMC algorithm¶

Use the Adaptive Directional Stratification Algorithm¶

Use the Directional Sampling Algorithm¶

Use the post-analytical importance sampling algorithm¶

Estimate a flooding probability¶

Specify a simulation algorithm¶

Use the Importance Sampling algorithm¶

Create a threshold event¶

Estimate a probability with Monte-Carlo on axial stressed beam: a quick start guide to reliability¶

Exploitation of simulation algorithm results¶

Use the FORM algorithm in case of several design points¶

Create a domain event¶

Subset Sampling¶

Use the FORM - SORM algorithms¶

Test the design point with the Strong Maximum Test¶

Time variant system reliability problem¶

Axial stressed beam : comparing different methods to estimate a probability¶

Create unions or intersections of events¶

An illustrated example of a FORM probability estimate¶

Create an event based on a process¶

Estimate a process-based event probability¶

FAST sensitivity indices¶

Parallel coordinates graph as sensitivity tool¶

Estimate Sobol’ indices for a function with multivariate output¶

Sobol’ sensitivity indices from chaos¶

Use the ANCOVA indices¶

Estimate Sobol’ indices for the Ishigami function by a sampling method: a quick start guide to sensitivity analysis¶

The HSIC sensitivity indices: the Ishigami model¶

Create a composite design of experiments¶

Create a Monte Carlo design of experiments¶

Probabilistic design of experiments¶

Create a Gauss product design¶

Create a random design of experiments¶

Create mixed deterministic and probabilistic designs of experiments¶

Create a design of experiments with discrete and continuous variables¶

The PlotDesign method¶

Deterministic design of experiments¶

Create a deterministic design of experiments¶

Generate low discrepancy sequences¶

Various design of experiments in OpenTURNS¶

Optimize an LHS design of experiments¶