Preconditioning of a pollution-free discretization of the Helmholtz equation

We present a pollution-free first order system least squares (FOSLS) formulation for the Helmholtz equation, solved iteratively using a block preconditioner. This preconditioner consists of two components: one for the Schur complement, which corresponds to a preconditioner on $L_2(Ω)$, and another defined on the test space, which we ensure remains Hermitian positive definite using subspace correction techniques. The proposed method is easy to implement and is directly applicable to general domains, including scattering problems. Numerical experiments demonstrate a linear dependence of the number of MINRES iterations on the wave number $κ$. We also introduce an approach to estimate algebraic errors which prevents unnecessary iterations.

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Publication Details

Journal
Applied Numerical Mathematics
Published
2026-04-30
DOI
https://doi.org/10.1016/j.apnum.2026.04.012
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

Preconditioning of a pollution-free discretization of the Helmholtz equation

Harald Monsuur
Applied Numerical Mathematics
Advanced Numerical Methods in Computational Mathematics
article

Preconditioning of a pollution-free discretization of the Helmholtz equation

Harald Monsuur
article en

Abstract

We present a pollution-free first order system least squares (FOSLS) formulation for the Helmholtz equation, solved iteratively using a block preconditioner. This preconditioner consists of two components: one for the Schur complement, which corresponds to a preconditioner on $L_2(Ω)$, and another defined on the test space, which we ensure remains Hermitian positive definite using subspace correction techniques. The proposed method is easy to implement and is directly applicable to general domains, including scattering problems. Numerical experiments demonstrate a linear dependence of the number of MINRES iterations on the wave number $κ$. We also introduce an approach to estimate algebraic errors which prevents unnecessary iterations.

Applied Numerical MathematicsVol. 227
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 99%
Advanced Numerical Methods in Computational Mathematics
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