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An efficient real representation method for least squares problem of the quaternion constrained matrix equation AXB + CYD = E

机译:一种有效的真实表示方法,用于最小二乘矩阵矩阵方程Axb + cyd = e

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Letandrepresent the sets of all eta-Hermitian quaternion matrices and eta-anti-Hermitian quaternion matrices, respectively. On the basis of the real representation matrix of a quaternion matrix and its particular structure, we convert the least squares problem of the quaternion matrix equationAXB + CY D = Eoverinto the corresponding problem of the real matrix equation over free variables, and then we establish its unique minimal norm least squares solution. Our resulting expressions are expressed only by real matrices, and the algorithm only includes real operations. Consequently, they are very simple and convenient. Compared with the existing method [S.F. Yuan, Q.W. Wang, and X. Zhang,Least-squares problem for the quaternion matrix equation AXB + CYD = E over different constrained matrices, Int. J. Comput. Math. 90 (2013), pp. 565-576], the final two examples show that our method is more efficient and superior.
机译:LetAndrepresent分别为所有Eta-Hermitian矩阵和Eta-antermitian Quatternion矩阵集。 基于四元数矩阵的真实表示矩阵及其特定结构,我们转换四元数矩阵areAnationAXB + CY D = EOVERINTO在自由变量上的相应问题,然后我们建立它 独特的最小规范最小二乘解。 我们所产生的表达式仅由真实矩阵表示,并且该算法仅包括实际操作。 因此,它们非常简单,方便。 与现有方法相比[S.F. 元,Q.W. 王和X. Zhang,在不同约束矩阵中的四元数矩阵方程AXB + Cyd = E的最小二乘问题。 J.Cople。 数学。 第90(2013),PP。565-576],最后的两个例子表明我们的方法更高效且优越。

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