Manifold learning for the emulation of spatial fields from computational models
type: Item
instance of: scholarly article
title: Manifold learning for the emulation of spatial fields from computational models
zbMATH Open document ID: 1373.68340
author: V. Triantafyllidis
author: A. A. Shah
author: Prasanth B. Nair
author: Nicholas Zabaras
author: Weiwei Xing
published in: Journal of Computational Physics
publication date: 2017-10-26T00:00:00Z
full work available at URL: WRAP Shah Manifold learning.pdf
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 35B30
Mathematics Subject Classification ID: 60G15
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 68U20
zbMATH DE Number: 6798347
zbMATH Keywords: parameterized partial differential equations
zbMATH Keywords: Gaussian process emulation
zbMATH Keywords: high dimensionality
zbMATH Keywords: manifold learning
zbMATH Keywords: inverse mapping
zbMATH Keywords: kernel PCA
zbMATH Keywords: diffusion maps
describes a project that uses: PRMLT
describes a project that uses: COMSOL
MaRDI profile type: Publication
OpenAlex ID: W2510161586
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DOI: 10.1016/J.JCP.2016.07.040
description: scientific article; zbMATH DE number 6798347