Learning Adaptive Coarse Spaces of BDDC Algorithms for Stochastic Elliptic Problems with Oscillatory and High Contrast Coefficients

Learning Adaptive Coarse Spaces of BDDC Algorithms for Stochastic Elliptic Problems with Oscillatory and High Contrast Coefficients

In this paper, we consider the balancing domain decomposition by constraints (BDDC) algorithm with adaptive coarse spaces for a class of stochastic elliptic problems. The key ingredient in the construction of the coarse space is the solutions of local spectral problems, which depend on the coefficie...

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Bibliographic Details
Main Authors: Eric Chung, Hyea-Hyun Kim, Ming-Fai Lam, Lina Zhao
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Mathematical and Computational Applications
Subjects:
BDDC
stochastic partial differential equation
artificial neural network
coarse space
high contrast
Online Access:https://www.mdpi.com/2297-8747/26/2/44

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