Schwarz preconditioner with $H_k$-GenEO coarse space for the indefinite Helmholtz problem
Victorita Dolean, Mark Fry, Ivan G. Graham, Matthias Langer

TL;DR
This paper introduces an improved Schwarz preconditioner with an $H_k$-GenEO coarse space for the indefinite Helmholtz problem, enhancing robustness against high wave-numbers and operator indefiniteness.
Contribution
The paper develops a new $H_k$-GenEO coarse space based directly on the indefinite Helmholtz operator, improving robustness for high-frequency problems.
Findings
The $H_k$-GenEO method is theoretically shown to depend mildly on wave-number.
The approach enhances preconditioner robustness for indefinite Helmholtz problems.
The method's coarse space size scales favorably with wave-number.
Abstract
GenEO (`Generalised Eigenvalue problems on the Overlap') is a method from the family of spectral coarse spaces that can efficiently rely on local eigensolves in order to build a robust parallel domain decomposition preconditioner for elliptic PDEs. When used as a preconditioner in a conjugate gradient, this method is extremely efficient in the positive-definite case, yielding an iteration count completely independent of the number of subdomains and heterogeneity. In a previous work this theory was extended to the cased of convection--diffusion--reaction problems, which may be non-self-adjoint and indefinite, and whose discretisations are solved with preconditioned GMRES. The GenEO coarse space was then defined here using a generalised eigenvalue problem based on a self-adjoint and positive definite subproblem. The resulting method, called -GenEO becomes robust with respect to…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Numerical methods in engineering · Numerical methods in inverse problems
