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IMA Journal of Numerical Analysis Advance Access originally published online on April 18, 2007
IMA Journal of Numerical Analysis 2008 28(1):46-79; doi:10.1093/imanum/drm001
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© The author 2007. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.

Hierarchical matrix techniques for low- and high-frequency Helmholtz problems

Lehel Banjai{dagger}

Mathematical Institute, University of Zurich, Zurich, Switzerland

Wolfgang Hackbusch{ddagger}

Max-Planck Institute for Mathematics in the Sciences, Leipzig, Germany

{dagger} Email: lehelb{at}math.unizh.ch

{ddagger} Corresponding author. Email: wh{at}mis.mpg.de

Received on 4 March 2005. Revised on 13 December 2006.


   Abstract

In this paper, we discuss the application of hierarchical matrix techniques to the solution of Helmholtz problems with large wave number {kappa} in 2D. We consider the Brakhage–Werner integral formulation of the problem discretized by the Galerkin boundary-element method. The dense n x n Galerkin matrix arising from this approach is represented by a sum of an Formula -matrix and an Formula 2-matrix, two different hierarchical matrix formats. A well-known multipole expansion is used to construct the Formula 2-matrix. We present a new approach to dealing with the numerical instability problems of this expansion: the parts of the matrix that can cause problems are approximated in a stable way by an Formula -matrix. Algebraic recompression methods are used to reduce the storage and the complexity of arithmetical operations of the Formula -matrix. Further, an approximate LU decomposition of such a recompressed Formula -matrix is an effective preconditioner. We prove that the construction of the matrices as well as the matrix-vector product can be performed in almost linear time in the number of unknowns. Numerical experiments for scattering problems in 2D are presented, where the linear systems are solved by a preconditioned iterative method.

Key Words: Helmholtz equation; boundary element method; hierarchical matrices


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