@Article{JCM-25-543,
author = {An-Ping Liao and Yuan Lei},
title = {Optimal Approximate Solution of the Matrix Equation $AXB=C$ over Symmetric Matrices},
journal = {Journal of Computational Mathematics},
year = {2007},
volume = {25},
number = {5},
pages = {543--552},
abstract = {<p style="text-align: justify;">Let $S_E$ denote the least-squares symmetric solution set of the matrix equation $AXB=C$, where $A$, $B$ and $C$ are given matrices of suitable size. To find the optimal approximate solution in the set $S_E$ to a given matrix, we give a new feasible method based on the projection theorem, the generalized SVD and the canonical correction decomposition.</p>},
issn = {1991-7139},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jcm/10347.html}
}