Pygpc: A sensitivity and uncertainty analysis toolbox for Python
We present a novel Python package for the uncertainty and sensitivity analysis of computational models. The mathematical background is based on the non-intrusive generalized polynomial chaos method allowing one to treat the investigated models as black box systems, without interfering with their leg...
| Hoofdauteurs: | , , , , |
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| Formaat: | Artikel |
| Taal: | English |
| Gepubliceerd in: |
Elsevier
2020-01-01
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| Reeks: | SoftwareX |
| Onderwerpen: | |
| Online toegang: | http://www.sciencedirect.com/science/article/pii/S2352711020300078 |