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On Preconditioned MHSS Real-Valued Iteration Methods for a Class of Complex Symmetric Indefinite Linear Systems

Part of: Numerical linear algebra

Published online by Cambridge University Press:  12 May 2016

Zhi-Ru Ren ,
Yang Cao  and
Li-Li Zhang
Zhi-Ru Ren
Affiliation:
School of Statistics and Mathematics, Central University of Finance and Economics, Beijing 100081, P.R. China
Yang Cao*
Affiliation:
School of Transportation, Nantong University, Nantong 226019, P.R. China
Li-Li Zhang
Affiliation:
School of Mathematics and Information Science, Henan University of Economics and Law, Zhengzhou 450046, P.R. China
*
*Corresponding author. Email addresses:[email protected] (Y. Cao)
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Abstract

A generalized preconditioned modified Hermitian and skew-Hermitian splitting (GPMHSS) real-valued iteration method is proposed for a class of complex symmetric indefinite linear systems. Convergence theory is established and the spectral properties of an associated preconditioned matrix are analyzed. We also give several variants of the GPMHSS preconditioner and consider the spectral properties of the preconditioned matrices. Numerical examples illustrate the effectiveness of our proposed method.

Keywords

Complex linear systemsPMHSS iterationreal-valued formconvergencepreconditioning

MSC classification

Secondary: 65F10: Iterative methods for linear systems 65F50: Sparse matrices
Type
Research Article
Information
East Asian Journal on Applied Mathematics , Volume 6 , Issue 2 , May 2016 , pp. 192 - 210
Copyright
Copyright © Global-Science Press 2016 

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