pygpc-polynomial-chaos/pygpc

A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method

Language: Jupyter Notebook - Size: 731 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 69 - Forks: 21

Martin-Lacroix/ChaosKIT

Arbitrary Polynomial Chaos Toolkit

Language: Python - Size: 23.4 KB - Last synced: 17 days ago - Pushed: 18 days ago - Stars: 2 - Forks: 0

EdgarJaber/SA-for-clogging-code

Codes used for the results in the paper: Sensitivity Analysis for a long-time clogging simulation code.

Language: Jupyter Notebook - Size: 225 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 1

JBris/model-calibration-evaluation

Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference

Language: Python - Size: 3.92 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 5 - Forks: 0

GianniCassoni/various-old-works

Language: Python - Size: 92.8 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

redmod-team/profit

Probabilistic Response mOdel Fitting with Interactive Tools

Language: Python - Size: 3.69 MB - Last synced: 16 days ago - Pushed: 16 days ago - Stars: 14 - Forks: 8

bazvalya/GSA_using_GDMaps_PCE

A source code for the paper titled "Global Sensitivity Analysis using Polynomial Chaos Expansion on the Grassmann Manifold".

Language: Jupyter Notebook - Size: 1.29 GB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 1 - Forks: 0

j-jith/orthopoly

Generate orthogonal polynomials for arbitrary probability density functions

Language: Python - Size: 146 KB - Last synced: 7 months ago - Pushed: over 6 years ago - Stars: 6 - Forks: 2

katiana22/GDM-PCE

Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".

Language: Jupyter Notebook - Size: 55.9 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 23 - Forks: 5

estevaofuzaro98/inSANE-HAPEX

This suite is an ensemble of codes developed to conduct a global sensitivity analysis on an multimodal energy harvesting system with periodic excitation.

Language: MATLAB - Size: 10.8 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 1

simetenn/geilo

Presentations for Geilo Winter School 2015

Language: TeX - Size: 80 MB - Last synced: about 1 month ago - Pushed: over 6 years ago - Stars: 0 - Forks: 2