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一类线性矩阵方程的三对角极小范数最小二乘解
引用本文:顾友付,曾晓辉.一类线性矩阵方程的三对角极小范数最小二乘解[J].苏州市职业大学学报,2012,23(1):56-60.
作者姓名:顾友付  曾晓辉
作者单位:江西应用工程职业学院基础部,江西萍乡,337042
摘    要:根据三对角矩阵的几何特征,利用矩阵的Kronecker积和Moore—Penrose广义逆,给出一类线性矩阵方程的三对角极小范数最小二乘解的表达式.此外,还给出求解该问题的算法和算例.

关 键 词:三对角矩阵  Kroneeker积  Moore—Penrose广义逆  极小范数解  最小二乘解

Least Squares Tridiagonal Solutions of A Series of Linear Matrix Equations with the Least Norm
GU You-fu,ZENG Xiao-hui.Least Squares Tridiagonal Solutions of A Series of Linear Matrix Equations with the Least Norm[J].Journal of Suzhou Vocational University,2012,23(1):56-60.
Authors:GU You-fu  ZENG Xiao-hui
Institution:(Department of Basic Education,Jiangxi Vocational College of Applied Engineering,Pingxiang 337042,China)
Abstract:According to the geometrical characteristics of the Tridiagonal matrix,we derive the expressions of the least squares tridiagonal solutions of a series of linear matrix equations with the least norm by using Moore-Penrose generalized inverse and the Kronecker product of matrices.In addition,a numerical example is used to show the feasibility of the numerical method.
Keywords:tridiagonal matrix  the kronecker product  Moore-Penrose generalized inverse  least norm solution  least squares solution
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