An Efficient and Accurate Method for the Identification of the Most Influential Random Parameters Appearing in the Input Data for PDEs

DOI10.1137/120883785zbMath1426.76634OpenAlexW2060964027MaRDI QIDQ2938435

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Publication date: 14 January 2015

Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/120883785

zbMATH Keywords

partial differential equationsmagnetohydrodynamicsanalysis of variancemultivariate functionscut-HDMR expansionsimportant inputsimportant interactions

Mathematics Subject Classification ID

Stochastic analysis applied to problems in fluid mechanics (76M35) Magnetohydrodynamics and electrohydrodynamics (76W05) Numerical solutions to stochastic differential and integral equations (65C30)

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