A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness.

Lei, Huan; Li, Jing; Gao, Peiyuan; Stinis, Panagiotis; Baker, Nathan A

Lei, Huan; Li, Jing; Gao, Peiyuan; Stinis, Panagiotis; Baker, Nathan A.

Afiliação

Lei H; Pacific Northwest National Laboratory, Richland, WA 99352.
Li J; Pacific Northwest National Laboratory, Richland, WA 99352.
Gao P; Pacific Northwest National Laboratory, Richland, WA 99352.
Stinis P; Pacific Northwest National Laboratory, Richland, WA 99352.
Baker NA; Department of Applied Mathematics, University of Washington, Seattle, WA 98195.

Comput Methods Appl Mech Eng ; 350: 199-227, 2019 Jun 15.

Article em En | MEDLINE | ID: mdl-32038051

Palavras-chave

arbitrary randomness; compressed sensing; data-driven; mutual dependence; sparsity enhancement; uncertainty quantification

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2019 Tipo de documento: Article