LSQR iterative method for generalized coupled Sylvester matrix equations

An iterative method is proposed to solve generalized coupled Sylvester matrix equations, based on a matrix form of the least-squares QR-factorization (LSQR) algorithm. By this iterative method on the selection of special initial matrices, we can obtain the minimum Frobenius norm solutions or the min...

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Bibliographic Details

Published in:	Applied mathematical modelling Vol. 36; no. 8; pp. 3545 - 3554
Main Authors:	Li, Sheng-Kun, Huang, Ting-Zhu
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.08.2012
Subjects:	Approximation Generalized coupled Sylvester matrix equations Iterative methods Least squares method LSQR algorithm Mathematical analysis Mathematical models Matrices Matrix methods Minimum Frobenius norm solutions Norms Generalized coupled Sylvester matrix equations Minimum Frobenius norm solutions LSQR algorithm
ISSN:	0307-904X
Online Access:	Get full text
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