Stochastic Tools Examples and Tutorials
The following example problems demonstrate the capabilities of the MOOSE Stochastic Tools Module.
Parameter Studies, Statistics, and Sensitivity Analysis:
Example 1: Monte Carlo Example
Example 2: Parameter Study
Example 4: SOBOL Sensitivity Analysis
Surrogate Models:
Example 5: Creating a Surrogate Model
Example 6: Training a Surrogate Model
Example 7: Evaluating a Surrogate Model
Example 8: Polynomial Chaos Surrogate
Example 9: Polynomial Regression Surrogate
Example 10: POD Reduced Basis Surrogate
Example 11: Comparison of surrogates using a time-dependent problem
Example 12: Gaussian Process Surrogate
Example 13: K-Fold Cross Validation