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Conference Papers Year : 2023

Slides, SIAM CSE 2023 - Toward a multilevel method for the Helmholtz Equation

Abstract

It is well known that multigrid methods are very competitive in solving a wide range of SPD problems. However achieving such performance for non-SPD matrices remains an open problem. In particular, two main issues may arise when solving a Helmholtz problem. Some eigenvalues become negative or even complex, requiring the choice of an adapted smoothing method for capturing them. Moreover, since the near-kernel space is oscillatory, the geometric smoothness assumption cannot be used to build efficient interpolation rules. We present some investigations about designing a method that converges in a constant number of iterations with respect to the wavenumber. The method builds on an ideal reduction-based framework and related theory for SPD matrices to correct an initial least squares minimization coarse selection operator formed from a set of smoothed random vectors.
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Dates and versions

hal-04046630 , version 1 (27-03-2023)

Identifiers

  • HAL Id : hal-04046630 , version 1

Cite

Robert Falgout, Matthieu Lecouvez, Pierre Ramet, Clément Richefort. Slides, SIAM CSE 2023 - Toward a multilevel method for the Helmholtz Equation. CSE 2023 - SIAM Conference on Computational Science and Engineering, Feb 2023, Amsterdam, Netherlands. ⟨hal-04046630⟩
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