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Vector least-squares solutions for coupled singular matrix equations


Kilicman, Adem and Abdel Aziz Al Zhour, Zeyad (2007) Vector least-squares solutions for coupled singular matrix equations. Journal of Computational and Applied Mathematics, 206 (2). pp. 1051-1069. ISSN 0377-0427


The weighted least-squares solutions of coupled singular matrix equations are too difficult to obtain by applying matrices decomposition. In this paper, a family of algorithms are applied to solve these problems based on the Kronecker structures. Subsequently, we construct a computationally efficient solutions of coupled restricted singular matrix equations. Furthermore, the need to compute the weighted Drazin and weighted Moore-Penrose inverses; and the use of Tian's work and Lev-Ari's results are due to appearance in the solutions of these problems. The several special cases of these problems are also considered which includes the well-known coupled Sylvester matrix equations. Finally, we recover the iterative methods to the weighted case in order to obtain the minimum D-norm G-vector least-squares solutions for the coupled Sylvester matrix equations and the results lead to the least-squares solutions and invertible solutions, as a special case. © 2006 Elsevier B.V. All rights reserved.

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Official URL or Download Paper: http://dx.doi.org/10.1016/j.cam.2006.09.009

Additional Metadata

Item Type: Article
Divisions: Institute for Mathematical Research
DOI Number: https://doi.org/10.1016/j.cam.2006.09.009
Publisher: Elsevier
Keywords: Generalized inverses, Iterative methods, Kronecker products, Matrix least-squares problems, Matrix norms
Depositing User: Erni Suraya Abdul Aziz
Date Deposited: 09 Dec 2010 07:20
Last Modified: 28 Sep 2015 08:24
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.cam.2006.09.009
URI: http://psasir.upm.edu.my/id/eprint/8687
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