14 results for “topic:polynomial-chaos-expansion”
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
Probabilistic Response mOdel Fitting with Interactive Tools
Generate orthogonal polynomials for arbitrary probability density functions
This suite is an ensemble of codes developed to conduct a global sensitivity analysis on an multimodal energy harvesting system with periodic excitation.
This repository includes Matlab codes/routines that were used in my Bachelor thesis entitled "Numerical Methods For Uncertainty Quantification In Option Pricing" that can be found in: https://www.researchgate.net/publication/330005261_Numerical_Methods_For_Uncertainty_Quantification_In_Option_Pricing.
A source code for the paper titled "Global Sensitivity Analysis using Polynomial Chaos Expansion on the Grassmann Manifold".
Codes used for the results in the paper: Sensitivity Analysis for a long-time clogging simulation code.
Sensitivity analysis of the drag model using the Polynomial Chaos Expansion
Intention-aware control using stochastic expansion methods
Presentations for Geilo Winter School 2015
Stochastic finite element method for 2D Poisson and 3D Elasticity problems.
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