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子矩阵约束下矩阵方程AXB=E的极小范数最小二乘对称解
引用本文:王明辉,魏木生,姜同松.子矩阵约束下矩阵方程AXB=E的极小范数最小二乘对称解[J].计算数学,2007,29(2):147-154.
作者姓名:王明辉  魏木生  姜同松
作者单位:1. 曲阜师范大学数学系,山东曲阜,273165;华东师范大学数学系,上海,200062
2. 华东师范大学数学系,上海,200062
3. 临沂师范学院数学系,山东,临沂,276005
摘    要:本文主要研究了任意子矩阵约束下矩阵方程AXB=E的极小范数最小二乘对称解问题,方法是借助于子空间的基将约束问题转化为非约束问题,可以应用到线性矩阵方程的所有子空间约束解问题.

关 键 词:矩阵方程  Frobenius范数  极小范数解  正交基
修稿时间:2005-11-20

THE MINIMUM-NORM LEAST-SQUARES SYMMETRIC SOLUTIONS OF MATRIX EQUATION AXB=E WITH A SUBMATRIX CONSTRAINT
Wang Minghui,Wei Musheng,Jiang Tongsong.THE MINIMUM-NORM LEAST-SQUARES SYMMETRIC SOLUTIONS OF MATRIX EQUATION AXB=E WITH A SUBMATRIX CONSTRAINT[J].Mathematica Numerica Sinica,2007,29(2):147-154.
Authors:Wang Minghui  Wei Musheng  Jiang Tongsong
Institution:1.Department of Mathematics, Qufu Normal University, Qufu 273165, Shandong, China;2. Department of Mathematics, East China Normal University, Shanghai 200062, China;3.Department of Mathematics, Linyi Normal University, Linyi 276005, Shandong, China
Abstract:This paper studys the minimum-norm least-squares symmetric solutions of matrix equation AXB = E with a arbitrary submatrix constraint. By the basis vectors of subspace, the constraint problem is transformed into a unconstraint problem. This method can be applied to many similar problems.
Keywords:matrix equation  Frobeinus norm  minimum-norm solution  orthogonal basis
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