Logo
  • Home
  • Dimension Reduction
  • Distributions
  • Inference
  • Reliability
  • RunModel
  • Sampling
    • Monte Carlo Sampling
    • Latin Hypercube Sampling
    • True Stratified Sampling
    • Refined Stratified Sampling
    • Simplex Sampling
    • Adaptive Kriging
    • Theta Criterion
      • ThetaCriterionPCE Class
        • Methods
        • Examples
    • Markov Chain Monte Carlo
    • Importance Sampling
  • Scientific Machine Learning
  • Sensitivity
  • Stochastic Process
  • Surrogates
  • Transformations
  • Utilities
  • UQpy architecture
  • UQpy paper
  • Bibliography
  • News
UQpy
  • Sampling
  • Theta Criterion
  • Theta Criterion PCE Examples
  • View page source

Theta Criterion PCE Examples

Polynomial Chaos Expansion example: Active Learning for Multiple Surrogate Models

Polynomial Chaos Expansion example: Active Learning for Multiple Surrogate Models

Download all examples in Python source code: theta_criterion_python.zip

Download all examples in Jupyter notebooks: theta_criterion_jupyter.zip

Gallery generated by Sphinx-Gallery

Previous Next

© Copyright 2021, Michael D. Shields.

Built with Sphinx using a theme provided by Read the Docs.