GenMod: A generative modeling approach for spectral representation of PDEs with random inputs-Reference-Cited by-同舟云学术

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GenMod: A generative modeling approach for spectral representation of PDEs with random inputs

Published:2023-01 Issue: Volume:472 Page:111691
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Wentz Jacqueline,Doostan Alireza

Funder

U.S. Department of Energy

Air Force Office of Scientific Research

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

Reference39 articles.

1. Model-based compressive sensing;Baraniuk;IEEE Trans. Inf. Theory,2010

2. On the optimal polynomial approximation of stochastic PDEs by Galerkin and collocation methods;Beck;Math. Models Methods Appl. Sci.,2012

3. Simultaneous analysis of lasso and Dantzig selector;Bickel;Ann. Stat.,2009

4. Compressed sensing using generative models;Bora,2017

5. Stable signal recovery from incomplete and inaccurate measurements;Candès;Commun. Pure Appl. Math.,2006

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