A preconditioned nested splitting conjugate gradient iterative method for the large sparse generalized Sylvester equation

被引:19
|
作者
Ke, Yi-Fen [1 ]
Ma, Chang-Feng [1 ]
机构
[1] Fujian Normal Univ, Sch Math & Comp Sci, Fuzhou 350007, Peoples R China
基金
中国国家自然科学基金;
关键词
Generalized Sylvester equation; Conjugate gradient method; Preconditioning; Nested iteration method; Convergence conditions; LEAST-SQUARES SOLUTION; APPROXIMATE SOLUTION; MATRIX; AXB;
D O I
10.1016/j.camwa.2014.09.009
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A nested splitting conjugate gradient (NSCG) iterative method and a preconditioned NSCG (PNSCG) iterative method are presented for solving the generalized Sylvester equation with large sparse coefficient matrices, respectively. Both methods are actually inner/outer iterations, which employ the CG-like method as inner iteration to approximate each outer iteration, while each outer iteration is induced by a convergent and symmetric positive definite splitting of the coefficient matrices. Convergence conditions of both methods are studied in depth and numerical experiments demonstrate the efficiency of the proposed methods. Moreover, experimental results show that the PNSCG method is more accurate, robust and effective than the NSCG method. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1409 / 1420
页数:12
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