With polynomial degree growing like log k, two-level additive and hybrid Schwarz GMRES converges in O((log k)^4) iterations for Helmholtz problems, with pollution-free piecewise-polynomial fine and coarse spaces.
MatExPre: A matrix exponential preconditioner for the high-frequency Helmholtz equation
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abstract
In this article, we present a new preconditioner, MatExPre, for the high-frequency Helmholtz equation by leveraging the properties of matrix exponentials. Our approach begins by reformulating the Helmholtz equation into a Schr\"{o}dinger-like equation and constructing a time-domain solver based on a fixed-point iteration. We then establish a rigorous connection between the time-domain solver and matrix exponential integrators, which enables us to derive algebraic preconditioners that rely solely on sparse matrix-vector products. Spectral analysis and a detailed numerical implementation strategy, including performance improvements achieved through complex shifting, are discussed. Finally, numerical experiments on 2D and large-scale 3D homogeneous and inhomogeneous models, including benchmark seismic examples, substantiate the effectiveness and scalability of the proposed methods.
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Theory of two-level Schwarz preconditioners with piecewise-polynomial coarse spaces for the high-frequency Helmholtz equation
With polynomial degree growing like log k, two-level additive and hybrid Schwarz GMRES converges in O((log k)^4) iterations for Helmholtz problems, with pollution-free piecewise-polynomial fine and coarse spaces.