3. The Sampler module

Abstract

This is a description of the Sampler module whose main goal is to produce a design-of-experiments, starting from the description of the model provided by the user, and that would be used to investigate the sensitivity and/or propagate uncertainty for the requested analysis.

The source files are in souRCE.git/meTIER/sampler/souRCE and the corresponding namespace is URANIE::Sampler.

• 3.1. Introduction
• 3.2. The Stochastic methods
  • 3.2.1. Introduction
  • 3.2.2. The main sampler classes
  • 3.2.3. Simple example
  • 3.2.4. TConstrLHS example
• 3.3. Description of a correlation
  • 3.3.1. Imposing the correlation coefficients
    • 3.3.1.1. Case of singular correlation matrix
  • 3.3.2. The copula classes
• 3.4. QMC method
• 3.5. The random fields
• 3.6. OAT Design
  • 3.6.1. Introduction
  • 3.6.2. OAT design in Uranie
  • 3.6.3. TOATDesign
    • 3.6.3.1. Construction of a simple OAT design-of-experiments
    • 3.6.3.2. Some options
    • 3.6.3.3. Regular mode
    • 3.6.3.4. Random mode
    • 3.6.3.5. Multiple sets of nominal values
    • 3.6.3.6. Multiple ranges
    • 3.6.3.7. Remarks
• 3.7. The Vectorial Quantification method