Data fusion for uncertainty quantification with non-intrusive polynomial chaos
type: Item
instance of: scholarly article
title: Data fusion for uncertainty quantification with non-intrusive polynomial chaos
zbMATH Open document ID: 1506.65015
author: Nick Pepper
author: Francesco Montomoli
author: Sanjiv Sharma
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2021-04-26T00:00:00Z
Mathematics Subject Classification ID: 65C20
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 7338022
zbMATH Keywords: data fusion
zbMATH Keywords: uncertainty quantification
zbMATH Keywords: polynomial chaos expansions
zbMATH Keywords: maximum entropy principle
MaRDI profile type: Publication
full work available at URL: j.cma.2020.113577
OpenAlex ID: W3107192156
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DOI: 10.1016/J.CMA.2020.113577
description: scientific article; zbMATH DE number 7338022