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This directory contains utility for implementing generic Reqursive Least Squares (RLS) algorithm. The example shows how one can use the utility to estamate the parameters of a simple linear discrete time system.

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 a ...

最小平方近似法 (least-squares approximation) 是用來求出一組離散 (discrete) 數據點的近似函數 (approximating function)，作實驗所得的數據亦常使用最小平方近似法來達成曲線密合 (curve fitting)。以下所介紹的最小平方近似法是使用多項式作為近似函數，除了多項式之外，指數、對數方程式亦可作為近似函數。關於最小平 ...

The Linux kernel is one of the most interesting yet least understood open-source projects. It is also a basis for developing new kernel code. That is why Sams is excited to bring you the latest Linux kernel development information from a Novell insider in the second edition of Linux Kernel Developme ...

控制行业中重要的least square parameter solution，里面使用了一个例子，可以将输入改变然后使用

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

The Linux kernel is one of the most interesting yet least understood open-source projects. It is also a basis for developing new kernel code. That is why Sams is excited to bring you the latest Linux kernel development information from a Novell insider in the second edition of Linux Kernel Developme ...

Least Square - ARMA 算法的MATLAB代码, 是频谱分析(通常是在高级DSP这门课中会用到的)的常用算法

有监督自组织映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用语多变量数据的回归分析

Partial Least Squares regression bilinear factor model 的输出源码