摘要
本文利用矩阵的奇异值分解(SVD),给出了在一流形上矩阵方程BTXB=D的加权最小二乘对称解的通解表达式,并解决了加权最小二乘对称解的最佳逼近问题。
The expression of the weighted least squares symmetric solutions of matrix equation B^TXB = D on a linear manifold is derived by the use of matrix singular value decomposition (SVD). Meanwhile, the optimal approximation solution is also obtained.
出处
《数学理论与应用》
2008年第1期78-81,共4页
Mathematical Theory and Applications
关键词
线性流形
加权
最小二乘
最佳逼近
Linear manifold weighted least squares optimal approximation