2001
DOI: 10.1002/1097-0207(20010220)50:5<1077::aid-nme65>3.0.co;2-p
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Incomplete factorization-based preconditionings for solving the Helmholtz equation

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Cited by 58 publications
(23 citation statements)
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“…In the following subsections, we will shortly discuss some preconditioners for the Helmholtz equation, namely the shifted-Laplace preconditioner (our method of choice), the incomplete factorization of a "modified" Helmholtz operator [9] and the separation-of-variables preconditioner [11] (with which we compare our numerical results).…”
Section: Preconditioned Krylov Subspace Methodsmentioning
confidence: 99%
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“…In the following subsections, we will shortly discuss some preconditioners for the Helmholtz equation, namely the shifted-Laplace preconditioner (our method of choice), the incomplete factorization of a "modified" Helmholtz operator [9] and the separation-of-variables preconditioner [11] (with which we compare our numerical results).…”
Section: Preconditioned Krylov Subspace Methodsmentioning
confidence: 99%
“…2 [9] An ILU factorization may not be stable if A is not an M-matrix, which is the case for the discrete Helmholtz equation. In [9] approximations of A are proposed so that ILU factorizations can be I , a constraint is set so that the preconditioned system AM −1 I is definite or "less indefinite".…”
Section: Shifted-laplace Preconditionermentioning
confidence: 99%
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“…The performance of the damped preconditioner was compared to a modified incomplete Cholesky factorization (MIC) preconditioner [27]. The algorithm presented in [40] is used for the MIC(l) approximation of A −1 , where the parameter l describes the level of fillin in the factorization.…”
Section: Cube Problemmentioning
confidence: 99%
“…For acoustic and elastic problems in homogenous medium, domain imbedding/fictitious domain methods in [23,24,25,26] have been fairly effective, but these methods are pretty restrictive and not well-suited in general, complicated domains. An incomplete factorization preconditioner has been considered in [27], for example, and in [28] a tensor product preconditioner is used.…”
Section: Introductionmentioning
confidence: 99%