Nonlinear dimension reduction for surrogate modeling using gradient information

被引：0
|
作者：
Bigoni, Daniele [1 ]
Marzouk, Youssef [1 ]
Prieur, Clémentine [2 ]
Zahm, Olivier [2 ]
机构：
[1] Center for Computational Science & Engineering, Massachusetts Institute of Technology, United States
[2] Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble,38000, France
来源：
arXiv | 2021年
关键词：
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摘要：
Polynomial approximation
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