Kriging, Polynomial Chaos Expansion, and Low-Rank Approximations in Material Science and Big Data Analytics.

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第一作者： Golsa,Mahdavi

第一单位： Department of Civil, Environmental and Architectural Engineering, University of Colorado, Boulder, Colorado, USA.

作者： Golsa,Mahdavi ^[1] ; Mohammad Amin,Hariri-Ardebili ^[2]

作者单位： Department of Civil, Environmental and Architectural Engineering, University of Colorado, Boulder, Colorado, USA. ^[1] Department of Civil, Environmental and Architectural Engineering, University of Colorado, Boulder, Colorado, USA.;College of Computer, Mathematical and Natural Sciences, University of Maryland, College Park, Maryland, USA. ^[2]

关键词 concrete polynomial chaos expansion regression surrogate model

主题词非线性动力学(Nonlinear Dynamics);抗压强度(Compressive Strength);建筑材料(Construction Materials);算法(Algorithms)

DOI 10.1089/big.2022.0124

PMID 37093038

发布时间 2024-08-12

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2024年12卷4期

270-281页

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Kriging, Polynomial Chaos Expansion, and Low-Rank Approximations in Material Science and Big Data Analytics.

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