A multi-element non-intrusive polynomial chaos method using agglomerative clustering based on the derivatives to study irregular and discontinuous quantities of interest

DOI10.1016/j.jcp.2022.111763OpenAlexW4280548250MaRDI QIDQ2106992

Eric Garnier, Thomas Gomez, Nicolas Vauchel

Publication date: 29 November 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2022.111763

zbMATH Keywords

machine learninguncertainty quantificationmulti-element polynomial chaos

Mathematics Subject Classification ID

Stochastic analysis (60Hxx) Probabilistic methods, stochastic differential equations (65Cxx) Approximations and expansions (41Axx)

Uses Software

• Scikit
• TESTPACK
• Adam

Cites Work

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