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K. W. E. Chu, “Singular Value and Generalized Singular Value Decomposition and the Solution of Linear Matrix Equations,” Linear Algebra and Its Applications, Vol. 88-89, 1987, pp. 83-98. doi:10.1016/0024-3795(87)90104-2

has been cited by the following article:

• TITLE: Least Squares Symmetrizable Solutions for a Class of Matrix Equations

  AUTHORS: Fanliang Li

  KEYWORDS: Matrix Equations; Matrix Row Stacking; Topological Isomorphism; Least Squares Solution; Optimal Approximation

  JOURNAL NAME: Applied Mathematics, Vol.4 No.5, May 13, 2013

  ABSTRACT: In this paper, we discuss least squares symmetrizable solutions of matrix equations (AX = B, XC = D) and its optimal approximation solution. With the matrix row stacking, Kronecker product and special relations between two linear subspaces are topological isomorphism, and we derive the general solutions of least squares problem. With the invariance of the Frobenius norm under orthogonal transformations, we obtain the unique solution of optimal approximation problem. In addition, we present an algorithm and numerical experiment to obtain the optimal approximation solution.