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

出版年份 2016 全文链接

标题

作者

关键词

Uncertainty quantification, Meta-modeling, Sparse polynomial chaos expansions, Canonical low-rank approximations, Rank selection, Meta-model error

出版物

JOURNAL OF COMPUTATIONAL PHYSICS

Volume 321, Issue -, Pages 1144-1169

出版商

Elsevier BV

发表日期

2016-06-11

DOI

10.1016/j.jcp.2016.06.005

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