McMg is a learned phase-space multi-channel multigrid preconditioner that maps residuals to corrections for heterogeneous Helmholtz equations and shows fewer iterations than classical and neural baselines in tests.
arXiv preprint arXiv:2407.04364 , year=
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Review of CEM-GMsFEM for multiscale solution of high-contrast elliptic PDEs using spectral auxiliary spaces and oversampling with exponential decay.
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McMg: A Learned Phase-Space Multi-channel Multigrid Preconditioner for Helmholtz Equation
McMg is a learned phase-space multi-channel multigrid preconditioner that maps residuals to corrections for heterogeneous Helmholtz equations and shows fewer iterations than classical and neural baselines in tests.
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Multiscale modeling for problems with high contrast heterogeneous coefficients by the CEM-GMsFEM
Review of CEM-GMsFEM for multiscale solution of high-contrast elliptic PDEs using spectral auxiliary spaces and oversampling with exponential decay.