Meta-mgnet: meta multigrid networks for solving parameterized partial differential equations
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Publication:2133752
DOI10.1016/j.jcp.2022.110996OpenAlexW4226429807WikidataQ114163364 ScholiaQ114163364MaRDI QIDQ2133752
Yuyan Chen, Bin Dong, Jin-Chao Xu
Publication date: 5 May 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2010.14088
Basic methods in fluid mechanics (76Mxx) Artificial intelligence (68Txx) Numerical methods for partial differential equations, boundary value problems (65Nxx)
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Learning-based local weighted least squares for algebraic multigrid method, AI‐enhanced iterative solvers for accelerating the solution of large‐scale parametrized systems, Side effects of learning from low-dimensional data embedded in a Euclidean space
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