UserManual Python
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 Python
UserManual Python
5.
The Modeler Module
5.4.
The kriging method
5.4.1.
Construction of a kriging model
5.4.1.2.
Deterministic trend and bayesian prior
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5.4.1.2.
Deterministic trend and bayesian prior