qr方法求赫申伯格矩阵的全部特征值
上传时间： 2015-02-13
上传用户：缥缈
QR ALGORITHM To obtain the eigenvalues of a symmetric, tridiagonal n by n matrix
标签： eigenvalues tridiagonal ALGORITHM symmetric
上传时间： 2014-01-15
上传用户：凌云御清风
工会会员信息管理系统 v1.0.5 (DAO+ACCESS+QR).
上传时间： 2014-01-15
上传用户：wanqunsheng
Common Martix Operation ,include transpose, qr-factorization, trangular martix
标签： qr-factorization Operation transpose trangular
上传时间： 2013-11-30
上传用户：xc216
MATLAB, computing matrix by QR
标签： computing MATLAB matrix by
上传时间： 2015-05-05
上传用户：顶得柱
The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar-rotation algorithm is used to update the QR- factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill- conditioned problems, such as fitting polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back-substitution routine BKSUB2 which it calls, the routines behave as in AS 274.
标签： least-squares unconstrained Statisti Applied
上传时间： 2015-05-14
上传用户：aig85
基于矩阵QR分解的最小二乘拟合MATLAB源程序
上传时间： 2015-06-05
上传用户：ljt101007
利用隐式QR方法求一个实矩阵全部特征值和特征向量的通用子程序。
上传时间： 2015-06-19
上传用户：wang5829
empirical mode decomposition(EMD)分解算法的matlab代码
标签： decomposition empirical matlab mode
上传时间： 2013-11-28
上传用户：小眼睛LSL
通过奇异值分解实现的最小二乘拟合算法 inear least-squares fit by singular value decomposition
标签： decomposition least-squares singular inear
上传时间： 2015-07-26
上传用户：bibirnovis
