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一种求矩阵方程AXB=C最小二乘对称解的迭代法
引用本文:彭卓华.一种求矩阵方程AXB=C最小二乘对称解的迭代法[J].赣南师范学院学报,2008,29(3):15-17.
作者姓名:彭卓华
作者单位:湖南科技大学数学与计算科学学院,湖南,湘潭,411201
摘    要:提出一种迭代法求最小二乘问题min‖AXB-C‖的对称解.通过这种方法,给定初始对称矩阵X1,在没有舍入误差的情况下,经过有限步迭代,找到它的一个对称解.并且,通过选择一种特殊的初始对称矩阵,得到它的最小范数对称解X^*.另外,给定矩阵X0,通过求解最小二乘问题min‖AXB-C‖(其中C=C-AX0B),得到它的最佳逼近对称解.

关 键 词:迭代法  矩阵方程  对称解  最小范数解

An Iterative Method for the Least Squares Symmetric Solution of the Matrix Equation AXB=C
PENG Zhuo-hua.An Iterative Method for the Least Squares Symmetric Solution of the Matrix Equation AXB=C[J].Journal of Gannan Teachers' College(Social Science(2)),2008,29(3):15-17.
Authors:PENG Zhuo-hua
Institution:PENG Zhuo-hua (College of Mathematics, Hunan University of Science and Technology, Xiangtan 411201, China)
Abstract:In this paper, an algorithm is presented to solve the symmetric solution of the minimum Frobenius norm residual problem: min‖AXB-C‖ . By this algorithm, for any initial symmetric matrix X1, a solution X* can be obtained within finite iteration steps in the absence of roundoff errors, and the solution X* with least norm can be obtained by choosing a special kind of initial symmetric matrix. In addition, the unique optimal approximation solution X^ to a given matrix X0 in Frobenius norm can be obtained by finding the least norm symmetric solution * of the new minimum residual problem: min‖AB-‖ , where =C-AX0B.
Keywords:iterative method  matrix equation  symmetric solution  least-norm solution
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