线性流形上广义反次对称矩阵的加权最小二乘解  

Weighted Least Square Solution to Generalized Anti-skew-symmetric Matrices on the Linear Manifold

作　　者：张华珍[1] 罗慧明[1] 罗恒[1] 

机构地区：[1]湘西民族职业技术学院,湖南吉首416000

出　　处：《西华大学学报（自然科学版）》2013年第2期25-28,共4页Journal of Xihua University:Natural Science Edition

基　　金：湖南省高校科研基金(11C1261)

摘　　要：运用矩阵的奇异值分解得到了线性流形上广义反次对称矩阵在加权范数下的最小二乘解,同时导出了解集合中与给定矩阵的最佳逼近解的表达式。The expressions of the weighted least squares solution to Generalized Anti - skew - symmetric matrices on linear mani-fold are derived by applying the singular value decomposition of a matrix . In addition , the expressions of the optimal approximation is provided for the matrices.

关 键 词：奇异值分解 加权 广义反次对称矩阵 

分 类 号：O241.6[理学—计算数学]