In this paper, we introduce and analyze a modification of the Hermitian and skew-Hermitian splitting iteration method for solving a broad class of complex symmetric linear systems. We show that the modified Hermitian and skew-Hermitian splitting (MHSS) iteration method is unconditionally convergent. Each iteration of this method requires the solution of two linear systems with real symmetric positive definite coefficient matrices. These two systems can be solved inexactly. We consider acceleration of the MHSS iteration by Krylov subspace methods. Numerical experiments on a few model problems are used to illustrate the performance of the new method. © 2010 Springer-Verlag.

Modified HSS iteration methods for a class of complex symmetric linear systems

Benzi, Michele;
2010

Abstract

In this paper, we introduce and analyze a modification of the Hermitian and skew-Hermitian splitting iteration method for solving a broad class of complex symmetric linear systems. We show that the modified Hermitian and skew-Hermitian splitting (MHSS) iteration method is unconditionally convergent. Each iteration of this method requires the solution of two linear systems with real symmetric positive definite coefficient matrices. These two systems can be solved inexactly. We consider acceleration of the MHSS iteration by Krylov subspace methods. Numerical experiments on a few model problems are used to illustrate the performance of the new method. © 2010 Springer-Verlag.
2010
Complex symmetric matrix; Convergence analysis; Hermitian and skew-Hermitian splitting; Iteration method; Krylov subspace method; Preconditioning; Software; Theoretical Computer Science; Numerical Analysis; Computer Science Applications1707 Computer Vision and Pattern Recognition; Computational Theory and Mathematics; Computational Mathematics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/75253
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