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Computational Methods in Applied Mathematics

Editor-in-Chief: Carstensen, Carsten

Managing Editor: Matus, Piotr

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Volume 18, Issue 2

Issues

GMRES Convergence Bounds for Eigenvalue Problems

Melina A. Freitag / Patrick Kürschner
  • Corresponding author
  • Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraße 1, 39106 Magdeburg, Germany
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/ Jennifer Pestana
Published Online: 2017-06-07 | DOI: https://doi.org/10.1515/cmam-2017-0017

Abstract

The convergence of GMRES for solving linear systems can be influenced heavily by the structure of the right-hand side. Within the solution of eigenvalue problems via inverse iteration or subspace iteration, the right-hand side is generally related to an approximate invariant subspace of the linear system. We give detailed and new bounds on (block) GMRES that take the special behavior of the right-hand side into account and explain the initial sharp decrease of the GMRES residual. The bounds motivate the use of specific preconditioners for these eigenvalue problems, e.g., tuned and polynomial preconditioners, as we describe. The numerical results show that the new (block) GMRES bounds are much sharper than conventional bounds and that preconditioned subspace iteration with either a tuned or polynomial preconditioner should be used in practice.

Keywords: GMRES; Convergence Analysis; Inexact Inverse Iteration; Inexact Subspace Iteration; Krylov Subspace Methods; Block Krylov Methods; Preconditioning

MSC 2010: 15A18; 65F08; 65F10; 65F15; 65N25

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About the article

Received: 2016-09-19

Revised: 2017-03-03

Accepted: 2017-05-24

Published Online: 2017-06-07

Published in Print: 2018-04-01


Citation Information: Computational Methods in Applied Mathematics, Volume 18, Issue 2, Pages 203–222, ISSN (Online) 1609-9389, ISSN (Print) 1609-4840, DOI: https://doi.org/10.1515/cmam-2017-0017.

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