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Erlangga, Y. A.; Vuik, C.; Oosterlee, C. W.

On a class of preconditioners for solving the Helmholtz equation. (English) Zbl 1051.65101

Appl. Numer. Math. 50, No. 3-4, 409-425 (2004).
Summary: In 1983, a preconditioner was proposed by A. Bayliss, C. I. Goldstein, and E. Turkel [J. Comput. Phys. 49, 443–457 (1983; Zbl 0524.65068)] based on the Laplace operator for solving the discrete Helmholtz equation efficiently with CGNR. The preconditioner is especially effective for low wavenumber cases where the linear system is slightly indefinite. A. L. Laird [Preconditioned iterative solution of the 2D Helmholtz equation, First Year’s Report, St. Hugh’s College, Oxford (2001)] proposed a preconditioner where an extra term is added to the Laplace operator. This term is similar to the zeroth order term in the Helmholtz equation but with reversed sign.
Both approaches are further generalized to a new class of preconditioners, the so-called “shifted Laplace” preconditioners of the form \(\Delta \varphi - \alpha k^2 \varphi\) with \(\alpha \in \mathbb C\). Numerical experiments for various wavenumbers indicate the effectiveness of the preconditioner. The preconditioner is evaluated in combination with GMRES, Bi-CGSTAB, and CGNR.

Cited in 103 Documents

MSC:

65N06 Finite difference methods for boundary value problems involving PDEs
35J05 Laplace operator, Helmholtz equation (reduced wave equation), Poisson equation
65F35 Numerical computation of matrix norms, conditioning, scaling
65F10 Iterative numerical methods for linear systems

Keywords:

Helmholtz equation; Krylov subspace method; preconditioner; conjugate gradient method; mumerical experiments; GMRES; Bi-CGSTAB; CGNR

Citations:

Zbl 0524.65068

Software:

CGS; AILU
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\textit{Y. A. Erlangga} et al., Appl. Numer. Math. 50, No. 3--4, 409--425 (2004; Zbl 1051.65101)
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