Polynomial meta-models with canonical low-rank approximations: Numerical insights and comparison to sparse polynomial chaos expansions

Published 2016 View Full Article

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Title
Polynomial meta-models with canonical low-rank approximations: Numerical insights and comparison to sparse polynomial chaos expansions
Authors
Keywords
Uncertainty quantification, Meta-modeling, Sparse polynomial chaos expansions, Canonical low-rank approximations, Rank selection, Meta-model error
Journal
JOURNAL OF COMPUTATIONAL PHYSICS
Volume 321, Issue -, Pages 1144-1169
Publisher
Elsevier BV
Online
2016-06-11
DOI
10.1016/j.jcp.2016.06.005

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