Multigrid-augmented deep learning preconditioners for the Helmholtz equation using compact implicit layers
DOI10.1137/23M1583302MaRDI QIDQ6623680
Ido Ben-Yair, Eran Treister, Bar Lerer
Publication date: 24 October 2024
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Helmholtz equationmultigridLippmann-Schwinger equationconvolutional neural networksdeep learningimplicit methodsshifted Laplacian
Multigrid methods; domain decomposition for boundary value problems involving PDEs (65N55) Artificial neural networks and deep learning (68T07) Numerical solution of discretized equations for boundary value problems involving PDEs (65N22)
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