GenMod: a generative modeling approach for spectral representation of PDEs with random inputs
type: Item
instance of: scholarly article
title: GenMod: a generative modeling approach for spectral representation of PDEs with random inputs
author: J. M. Wentz
author: Alireza Doostan
published in: Journal of Computational Physics
publication date: 2022-11-18T00:00:00Z
full work available at URL: https://arxiv.org/abs/2201.12973
Mathematics Subject Classification ID: 60Hxx
Mathematics Subject Classification ID: 94Axx
Mathematics Subject Classification ID: 65Cxx
zbMATH DE Number: 7620372
zbMATH Keywords: uncertainty quantification
zbMATH Keywords: polynomial chaos expansion
zbMATH Keywords: compressed sensing
zbMATH Keywords: nonlinear approximation
zbMATH Keywords: sparse approximation
describes a project that uses: Scikit
describes a project that uses: Adam
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
OpenAlex ID: W4306804342
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DOI: 10.1016/J.JCP.2022.111691
description: scientific article; zbMATH DE number 7620372