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Nested splitting conjugate gradient method for matrix equation AXB = C and preconditioning
被引:30
|作者:
Zak, Mohammad Khorsand
[1
]
Toutounian, Faezeh
[1
,2
]
机构:
[1] Ferdowsi Univ Mashhad, Sch Math Sci, Dept Appl Math, Mashhad, Iran
[2] Ferdowsi Univ Mashhad, Ctr Excellence Modelling & Control Syst, Mashhad, Iran
关键词:
Conjugate gradient;
NSCG method;
Matrix equations;
Preconditioning;
Nested iterations;
POSITIVE-DEFINITE MATRICES;
LARGE SYLVESTER EQUATIONS;
LINEAR-SYSTEMS;
ITERATIVE METHODS;
CONVERGENCE;
D O I:
10.1016/j.camwa.2013.05.004
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
In this paper, we present a nested splitting conjugate gradient (NSCG) iteration method for solving a class of matrix equations with nonsymmetric coefficient matrices. This method is actually inner/outer iterations, which employs a CG-like method as inner iteration to approximate each outer iterate, while each outer iteration is induced by a convergent and symmetric positive definite splitting of the coefficient matrices. Convergence conditions of this method are studied in depth and numerical experiments show the efficiency of this method. Moreover, we show that the use of the quasi-Hermitian splitting as a pre-conditioner can induce an accurate, robust and effective preconditioned Krylov subspace method. (C) 2013 Elsevier Ltd. All rights reserved.
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页码:269 / 278
页数:10
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