Scalable Multigrid Solver for the Helmholtz Equation: Real-Shifted Coarse Grid Correction
Rachel Yovel, Eran Treister

TL;DR
This paper introduces a new scalable multigrid solver for high-frequency Helmholtz equations that avoids complex shifts, achieving efficient convergence even at high resolutions.
Contribution
A novel real-shifted coarse grid correction method that ensures scalable convergence for Helmholtz problems without using complex shifts.
Findings
Achieves scalable 3-level convergence without complex shift.
Outperforms standard complex shifted Laplacian method by an order of magnitude.
Demonstrates wavenumber independent convergence in 2D and 3D geophysical media.
Abstract
We present a convergent and scalable multigrid solver for high-frequency Helmholtz equations. Standard multigrid methods do not converge for high-frequency Helmholtz problems, and a common cure is adding a complex shift and using the shifted operator as a preconditioner. Nevertheless, the complex shift prevents scalability. In this work we present a new method that achieves scalable convergence of a 3-level cycle without a complex shift. Our key idea is real-shifting the coarsest grid Galerkin operator, to correct the numerical dispersion between the grids. We show that this real-shifted coarse grid correction leads to a scalable 3-level method, for problems with 12 grid points per wavelength on the fine grid, and a convergent cycle with very few iterations for 11 grid points per wavelength, using standard point-smoothers. For problems with 10 grid points per wavelength, our method…
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