Least Squares Symmetrizable Solutions for a Class of Matrix Equations ()

Fanliang Li

School of Sciences, Institute of Mathematics and Physics, Central South University of Forestry and Technology, Changsha, China.

**DOI: **10.4236/am.2013.45102
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School of Sciences, Institute of Mathematics and Physics, Central South University of Forestry and Technology, Changsha, China.

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.

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F. Li, "Least Squares Symmetrizable Solutions for a Class of Matrix Equations," *Applied Mathematics*, Vol. 4 No. 5, 2013, pp. 741-745. doi: 10.4236/am.2013.45102.

Conflicts of Interest

The authors declare no conflicts of interest.

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