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An iterative algorithm for the least squares bisymmetric solutions of the matrix equations ${A}_{1}X{B}_{1}={C}_{1},{A}_{2}X{B}_{2}={C}_{2}$. (English) Zbl 1190.65061
The authors propose an iterative algorithm for solving the minimum Frobenius norm residual problem $min\left[{\left({A}_{1}X{B}_{1}-{C}_{1}\right)}^{2}+{\left({A}_{2}X{B}_{2}-{C}_{2}\right)}^{2}\right]$ over bisymmetric matrices. The algorithm acts on the associated normal equation of the initial one.
##### MSC:
 65F30 Other matrix algorithms 65F10 Iterative methods for linear systems 15A24 Matrix equations and identities
##### References:
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