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A minimal residual algorithm for the inconsistent matrix equation AXB + CYD = E over anti-symmetric matrices

机译:反对称矩阵上不一致矩阵方程AXB + CYD = E的最小残差算法

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A minimal residual algorithm based on the idea of the classical CG method for the inconsisitent matrix equation AXB + CYD = E is constructed in this paper. By this method, the minimum norm least squares solution for anti-symmetric matrices can be obtained within finite iteration steps by choosing a special kind of initial iteration matrix when the matrix equation AXB + CYD = E is not consistent and an error bound is given. Finally, an example verifys the efficiency of the algorithm.
机译:本文针对经典矩阵方程AXB + CYD = E,构造了一种基于经典CG方法思想的最小残差算法。通过这种方法,当矩阵方程AXB + CYD = E不一致并且给出误差边界时,可以通过选择一种特殊的初始迭代矩阵,在有限的迭代步骤内获得反对称矩阵的最小范数最小二乘解。最后,通过一个例子验证了算法的有效性。

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