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Learning Algorithms for Coarsening Uncertainty Space and Applications to Multiscale Simulations

In this paper, we investigate and design multiscale simulations for stochastic multiscale PDEs. As for the space, we consider a coarse grid and a known multiscale method, the generalized multiscale finite element method (GMsFEM). In order to obtain a small dimensional representation of the solution...

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Auteurs principaux: Zecheng Zhang, Eric T. Chung, Yalchin Efendiev, Wing Tat Leung
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2020-05-01
Collection:Mathematics
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Accès en ligne:https://www.mdpi.com/2227-7390/8/5/720
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