Preconditioning of a pollution-free discretization of the Helmholtz equation.

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Title: Preconditioning of a pollution-free discretization of the Helmholtz equation.
Authors: Monsuur, Harald1 (AUTHOR) harald.monsuur@hotmail.com
Source: Applied Numerical Mathematics. Sep2026, Vol. 227, p169-187. 19p.
Subjects: Helmholtz equation, Schur complement, Iterative methods (Mathematics), Optimization algorithms, Discretization methods, Least squares, Error analysis in mathematics
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. [ABSTRACT FROM AUTHOR]
Copyright of Applied Numerical Mathematics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 194123927
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  Data: Preconditioning of a pollution-free discretization of the Helmholtz equation.
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  Data: <searchLink fieldCode="AR" term="%22Monsuur%2C+Harald%22">Monsuur, Harald</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> harald.monsuur@hotmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Numerical+Mathematics%22">Applied Numerical Mathematics</searchLink>. Sep2026, Vol. 227, p169-187. 19p.
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  Data: <searchLink fieldCode="DE" term="%22Helmholtz+equation%22">Helmholtz equation</searchLink><br /><searchLink fieldCode="DE" term="%22Schur+complement%22">Schur complement</searchLink><br /><searchLink fieldCode="DE" term="%22Iterative+methods+%28Mathematics%29%22">Iterative methods (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Discretization+methods%22">Discretization methods</searchLink><br /><searchLink fieldCode="DE" term="%22Least+squares%22">Least squares</searchLink><br /><searchLink fieldCode="DE" term="%22Error+analysis+in+mathematics%22">Error analysis in mathematics</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Applied Numerical Mathematics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.apnum.2026.04.012
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 169
    Subjects:
      – SubjectFull: Helmholtz equation
        Type: general
      – SubjectFull: Schur complement
        Type: general
      – SubjectFull: Iterative methods (Mathematics)
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Discretization methods
        Type: general
      – SubjectFull: Least squares
        Type: general
      – SubjectFull: Error analysis in mathematics
        Type: general
    Titles:
      – TitleFull: Preconditioning of a pollution-free discretization of the Helmholtz equation.
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          Dates:
            – D: 01
              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
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              Value: 227
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            – TitleFull: Applied Numerical Mathematics
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