2011
DOI: 10.1002/mma.1459
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The generalized centro-symmetric and least squares generalized centro-symmetric solutions of the matrix equation AYB + CYTD = E

Abstract: An n×n real matrix P is said to be a symmetric orthogonal matrix if P = P −1 = P T . An n×n real matrix Y is called a generalized centro-symmetric with respect to P, if Y = PYP. It is obvious that every matrix is also a generalized centrosymmetric matrix with respect to I. In this work by extending the conjugate gradient approach, two iterative methods are proposed for solving the linear matrix equation

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Cited by 48 publications
(18 citation statements)
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“…Due to their wide applications, various authors presented several methods for solving the matrix equations in recent years [6][7][8][9][10][11][12][13][14][15][16][17][18]42]. For example, Dehghan and Hajarian [19][20][21][22][23][24][25][26] proposed several efficient iterative algorithms for solving Sylvester matrix equations. In [27], an efficient method was proposed to find the generalized bisymmetric solutions of the matrix equation In [28], Cramer's rules for some quaternion matrix equations were presented within the framework of the theory of the column and row determinants.…”
Section: Introductionmentioning
confidence: 99%
“…Due to their wide applications, various authors presented several methods for solving the matrix equations in recent years [6][7][8][9][10][11][12][13][14][15][16][17][18]42]. For example, Dehghan and Hajarian [19][20][21][22][23][24][25][26] proposed several efficient iterative algorithms for solving Sylvester matrix equations. In [27], an efficient method was proposed to find the generalized bisymmetric solutions of the matrix equation In [28], Cramer's rules for some quaternion matrix equations were presented within the framework of the theory of the column and row determinants.…”
Section: Introductionmentioning
confidence: 99%
“…The HGI algorithms [16,21] and HLSI algorithms [20,21,18] for solving general (coupled) matrix equations are innovational and computationally efficient numerical methods and were proposed based on the hierarchical identification principle [17,19] which regards the unknown matrix as the system parameter matrix to be identified. In [15,[8][9][10][11][12], some efficient iterative methods were proposed to solve Sylvester and Lyapunov matrix equations. Zhou and Duan [43,44,46] established the solution of the several generalized Sylvester matrix equations.…”
Section: Introductionmentioning
confidence: 99%
“…The idea of conjugate gradient (CG) method [33] has been developed for constructing iterative algorithms to compute the solutions of different kinds of linear matrix equations over generalized reflexive and anti-reflexive, generalized bisymmetric, generalized centro-symmetric, mirror-symmetric, skewsymmetric and (P, Q)-reflexive matrices, for more details see [2,7,8,9,16,22,29,38] and the references therein. For instance, Peng et al [28] have proposed an iterative algorithm for finding the bisymmetric solutions of matrix equation…”
Section: Introductionmentioning
confidence: 99%