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A Preconditioned Recycling GMRES Solver for Stochastic Helmholtz Problems

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摘要 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-Loeve 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.
出处 《Communications in Computational Physics》 SCIE 2009年第7期342-353,共12页 计算物理通讯(英文)
基金 The research was supported in part by DOE under DE-FC02-04ER25595,and in part by NSF under grants CCF-0634894,and CNS-0722023.
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