A least-squares approximation of partial differential equations with high-dimensional random inputs
type: Item
instance of: scholarly article
title: A least-squares approximation of partial differential equations with high-dimensional random inputs
zbMATH Open document ID: 1167.65322
author: Alireza Doostan
author: Gianluca Iaccarino
published in: Journal of Computational Physics
publication date: 2009-06-30T00:00:00Z
Mathematics Subject Classification ID: 65C30
Mathematics Subject Classification ID: 60H15
Mathematics Subject Classification ID: 60H35
Mathematics Subject Classification ID: 35R60
Mathematics Subject Classification ID: 65M60
Mathematics Subject Classification ID: 65M15
zbMATH DE Number: 5572063
zbMATH Keywords: uncertainty quantification
zbMATH Keywords: separated representation
zbMATH Keywords: alternating least-squares scheme
zbMATH Keywords: curse of dimensionality
zbMATH Keywords: stochastic partial differential equations
zbMATH Keywords: stochastic Galerkin projections
zbMATH Keywords: stochastic collocation methods
zbMATH Keywords: algorithm
zbMATH Keywords: a priori error analysis
zbMATH Keywords: numerical experiments
MaRDI profile type: Publication
full work available at URL: j.jcp.2009.03.006
OpenAlex ID: W2146552914
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DOI: 10.1016/J.JCP.2009.03.006
description: scientific article; zbMATH DE number 5572063