A Preconditioned Recycling GMRES Solver for Stochastic Helmholtz Problems

A Preconditioned Recycling GMRES Solver for Stochastic Helmholtz Problems

Year:    2009

Communications in Computational Physics, Vol. 6 (2009), Iss. 2 : pp. 342–353

Abstract

We present a parallel Schwarz type domain decomposition preconditioned recycling Krylov subspace method for the numerical solution of stochastic indefinite elliptic equations with two random coefficients. Karhunen-Loève expansions are used to represent the stochastic variables and the stochastic Galerkin method with double orthogonal polynomials is used to derive a sequence of uncoupled deterministic equations. We show numerically that the Schwarz preconditioned recycling GMRES method is an effective technique for solving the entire family of linear systems and, in particular, the use of recycled Krylov subspaces is the key element of this successful approach.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2009-CiCP-7683

Communications in Computational Physics, Vol. 6 (2009), Iss. 2 : pp. 342–353

Published online:    2009-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    12

Keywords: