A non-linear dimension reduction methodology for generating data-driven stochastic input models
type: Item
instance of: scholarly article
title: A non-linear dimension reduction methodology for generating data-driven stochastic input models
zbMATH Open document ID: 1141.82316
author: Baskar Ganapathysubramanian
author: Nicholas Zabaras
published in: Journal of Computational Physics
publication date: 2008-07-21T00:00:00Z
Mathematics Subject Classification ID: 82B31
Mathematics Subject Classification ID: 65C30
Mathematics Subject Classification ID: 82B35
zbMATH DE Number: 5303109
zbMATH Keywords: stochastic partial differential equations
zbMATH Keywords: data-driven models
zbMATH Keywords: non-linear embedding
zbMATH Keywords: manifold learning
zbMATH Keywords: model reduction
zbMATH Keywords: collocation methods
zbMATH Keywords: sparse grids
zbMATH Keywords: microstructure
describes a project that uses: Qhull
MaRDI profile type: Publication
full work available at URL: j.jcp.2008.03.023
OpenAlex ID: W2089062907
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DOI: 10.1016/J.JCP.2008.03.023
description: scientific article; zbMATH DE number 5303109