An iterative method for solving a kind of constrained linear matrix equations system

被引:0
|
作者
Cai, Jing [1 ,2 ]
Chen, Guoliang [1 ]
机构
[1] E China Normal Univ, Dept Math, Shanghai 200062, Peoples R China
[2] Huzhou Teachers Coll, Sch Sci, Huzhou 313000, Zhejiang, Peoples R China
来源
COMPUTATIONAL & APPLIED MATHEMATICS | 2009年 / 28卷 / 03期
关键词
iterative method; linear matrix equations system; linear operator; least Frobenius norm solution; optimal approximation; ANTI-REFLEXIVE SOLUTIONS; SYMMETRIC-SOLUTIONS; PAIR; AX;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, an iterative method is constructed to solve the following constrained linear matrix equations system: [A(1)(X), A(2)(X), ..., A(r)(X)] = [E-1, E-2, ..., E-r], X 2 S = {X|X = U(X)}, where A(i) is a linear operator from C-mxn onto C-pixqi, E-i is an element of C-pixqi, i = 1, 2, ..., r, and U is a linear self-conjugate involution operator. When the above constrained matrix equations system is consistent, for any initial matrix X0 2 S, a solution can be obtained by the proposed iterative method infinite iteration steps in the absence of roundoff errors, and the least Frobenius norm solution can be derived when a special kind of initial matrix is chosen. Furthermore, the optimal approximation solution to a given matrix can be derived. Several numerical examples are given to show the efficiency of the presented iterative method.
引用
收藏
页码:309 / 325
页数:17
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