TY - JOUR
T1 - The Alternating Direction Methods for Solving the Sylvester-Type Matrix Equation $AXB+CX^⊤D=E$ 
AU - Ke , Yifen
AU - Ma , Changfeng
JO - Journal of Computational Mathematics
VL - 5
SP - 620
EP - 641
PY - 2017
DA - 2017/10
SN - 35
DO - http://doi.org/10.4208/jcm.1608-m2015-0430
UR - https://global-sci.org/intro/article_detail/jcm/10035.html
KW - Sylvester-type matrix equation, Alternating direction method, The least squares
solution, Best approximate solution.
AB - <p style="text-align: justify;">In this paper, we present two alternating direction methods for the solution and best approximate solution of the Sylvester-type matrix equation $AXB+CX^⊤D=E$ arising in the control theory, where $A,B,C,D$ and $E$ are given matrices of suitable sizes. If the matrix equation is consistent (inconsistent), then the solution (the least squares solution) can be obtained. Preliminary convergence properties of the proposed algorithms are presented. Numerical experiments show that the proposed algorithms tend to deliver higher quality solutions with less iteration steps and CPU time than some existing algorithms on the tested problems.</p>