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Contents:

  • 1. Overview: Uranie in a nutshell
  • 2. The DataServer module
  • 3. The Sampler module
  • 4. The Launcher module
  • 5. The Modeler Module
    • 5.1. Introduction
    • 5.2. The TLinearRegression Class
    • 5.3. Chaos polynomial expansion
    • 5.4. The kriging method
      • 5.4.1. Construction of a kriging model
        • 5.4.1.1. Example: construction of a simple Kriging model
        • 5.4.1.2. Deterministic trend and bayesian prior
        • 5.4.1.3. Choice of the initial point of the optimisation
      • 5.4.2. Usage of a Kriging model
  • 6. The Sensitivity module
  • 7. The Optimizer module
  • 8. The Relauncher module
  • 9. The Reoptimizer module
  • 10. The Metamodel Optimization module
  • 11. The Calibration module
  • 12. The Uncertainty modeler module
  • 13. Use-cases in C++
UserManual C++
  • 5. The Modeler Module
  • 5.4. The kriging method
  • 5.4.1. Construction of a kriging model
  • View page source

5.4.1. Construction of a kriging model

  • 5.4.1.1. Example: construction of a simple Kriging model
  • 5.4.1.2. Deterministic trend and bayesian prior
  • 5.4.1.3. Choice of the initial point of the optimisation
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