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Generalized Reflexive and Generalized Antireflexive Solutions to a System of Matrix Equations

机译:矩阵方程组的广义自反解和广义反自反解

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摘要

Two efficient iterative algorithms are presented to solve a system of matrix equations A_1X_1B_1+A_2X_2B_2=E,C_1X_1D_1+C_2X_2D_2=F over generalized reflexive and generalized antireflexive matrices. By the algorithms, the least norm generalized reflexive (antireflexive) solutions and the unique optimal approximation generalized reflexive (antireflexive) solutions to the system can be obtained, too. For any initial value, it is proved that the iterative solutions obtained by the proposed algorithms converge to their true values. The given numerical examples demonstrate that the iterative algorithms are efficient.
机译:提出了两种有效的迭代算法来解决广义自反矩阵和广义反自反矩阵上的矩阵方程A_1X_1B_1 + A_2X_2B_2 = E,C_1X_1D_1 + C_2X_2D_2 = F的系统。通过这些算法,也可以获得系统的最小范数广义自反(反身)解和唯一的最优近似广义自反(反身)解。对于任何初始值,证明了所提算法获得的迭代解收敛于其真实值。给出的数值示例证明了迭代算法是有效的。

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