Abstract

In this paper the generalized anti-reflexive solutions for the matrix equation $$ AV + BW = EVF + C $$ are presented. A new finite iterative algorithm is proposed for obtaining anti-reflexive solutions of this matrix equation. By this iterative method, the solvability of the anti-reflexive solutions for the matrix equation can be determined automatically. Additionally, the nearest solution to a given matrix in Frobenius norm is considered. Furthermore, the related optimal approximation problem to a given generalized Sylvester matrix equation can be derived. Finally, numerical examples are given to illustrate the effectiveness of the proposed algorithm.

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