Data-driven reduced order modeling for time-dependent problems
type: Item
instance of: scholarly article
title: Data-driven reduced order modeling for time-dependent problems
zbMATH Open document ID: 1440.62346
author: Mengwu Guo
author: Jan S. Hesthaven
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2020-04-09T00:00:00Z
full work available at URL: Data-driven ROM.pdf
Mathematics Subject Classification ID: 62M99
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 65M60
zbMATH DE Number: 7188711
zbMATH Keywords: data-driven
zbMATH Keywords: non-intrusive reduced order modeling
zbMATH Keywords: time-dependent problem
zbMATH Keywords: low-rank approximation
zbMATH Keywords: Gaussian process regression
zbMATH Keywords: machine learning
describes a project that uses: redbKIT
describes a project that uses: rbMIT
describes a project that uses: PMTK
describes a project that uses: PRMLT
describes a project that uses: FLagSHyP
MaRDI profile type: Publication
OpenAlex ID: W2885469054
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DOI: 10.1016/J.CMA.2018.10.029
description: scientific article; zbMATH DE number 7188711