首页 | 本学科首页   官方微博 | 高级检索  
     检索      

线性流形上行反对称矩阵反问题的最小二乘解及最佳逼近
引用本文:梁茂林,代丽芳,杨晓亚.线性流形上行反对称矩阵反问题的最小二乘解及最佳逼近[J].山东大学学报(理学版),2012,47(4):121-126.
作者姓名:梁茂林  代丽芳  杨晓亚
作者单位:天水师范学院数学与统计学院,甘肃天水,741001
基金项目:甘肃省教育厅基金资助项目(0808-04;1108B-03);天水师范学院中青年基金资助项目(TSA1104)
摘    要:运用矩阵的奇异值分解方法,给出了线性流形上矩阵方程组AX=B,XC=D的最小二乘行反对称解。对于任意给定矩阵X珟,得到了上述最小二乘解集合中的惟一最佳逼近解。

关 键 词:矩阵方程  最小二乘解  行反对称矩阵  奇异值分解  最佳逼近

The least-squares solutions and the optimal approximation of the inverse problem for row anti-symmetric matrices on linear manifolds
LIANG Mao-lin,DAI Li-fang,YANG Xiao-ya.The least-squares solutions and the optimal approximation of the inverse problem for row anti-symmetric matrices on linear manifolds[J].Journal of Shandong University,2012,47(4):121-126.
Authors:LIANG Mao-lin  DAI Li-fang  YANG Xiao-ya
Institution:(School of Mathematics and Statistics,Tianshui Normal University,Tianshui 741001,Gansu,China)
Abstract:The least-squares row anti-symmetric solutions of matrix equations AX=B,XC=D on linear manifolds are obtained by using the singular value decomposition.Also,for a given matrix,the unique optimal approximation solution in the least-squares solutions set is derived.
Keywords:matrix equations  least-squares solution  row anti-symmetric matrix  singular value decomposition  optimal approximation
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号