DocumentCode
1869161
Title
A Matrix-Form LSQR Iterative Method for Solving the Second-Order Sylvester Matrix Equation EXF2+AXF+CX+BY=D
Author
Li, Sheng-Kun
Author_Institution
Coll. of Math., Chengdu Univ. of Inf. Technol., Chengdu, China
fYear
2010
fDate
10-12 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
In this paper, an iterative method is proposed to solve the second-order Sylvester matrix equation EXF2+AXF+CX+BY=D with unknown matrix pair [X, Y], based on a matrix form of LSQR algorithm. By this iterative method, we can obtain the minimum Frobenius norm solution pair or the minimum Frobenius norm least squares solution pair over some constrained matrices, such as symmetric, generalized bisymmetric and (R, S)-symmetric matrices.
Keywords
iterative methods; least squares approximations; matrix algebra; bisymmetric matrix; constrained matrix; matrix form LSQR iterative method; minimum Frobenius norm least square solution; second order Sylvester matrix equation; Equations; Iterative algorithm; Iterative methods; Mathematical model; Sparse matrices; Symmetric matrices; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5391-7
Electronic_ISBN
978-1-4244-5392-4
Type
conf
DOI
10.1109/CISE.2010.5676729
Filename
5676729
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