多元线性回归模型

学习matlab的必备书籍,很好,我看过了,关于数据处理的 (a book of matlab)

说明：  Matlab入门级教程，对于新手可以看看，更好的理解Matlab(failed to translate)

《VisualC++-MATLAB图像处理与识别实用案例精选》书的源代码，里面各个章节的程序例子都有("VisualC- MATLAB image processing and recognition practical case Showcase" on the source code, inside the various sections of the procedures examples)

说明：  经典Bouc-Wen模型，可计算摩擦装置迟滞曲线(Classical bouc Wen model)

介绍利用MATLAB解决工程实践中的数值问题的电子书。(Applied Numerical Methods Using MATLAB，introduce numerical methods in engineering with the tool of matlab)

RPH tool is Matlab algoritm for Rock physics analysis

这是matlab编写的一个影像匹配的程序，是摄影测量的实习作业，其中用到相关系数法，匹配结果精度较高，希望与大家交流学习(It is written in an image matching matlab program, internship job photogrammetry, which uses the correlation coefficient method, matches high accuracy, and we hope the exchange of learning)

物理光学方法 近似计算散射体RCS POFACETS is an implementation of the physical optics approximation for predicting the radar cross section (RCS) of complex objects. It utilizes the scientific computational features of MATLAB and its Graphical User Interface (GUI) functions to provide an error-free encoding of input parameters and efficient calculation of RCS. POFACETS provides a convenient tool for a “first cut” at the RCS of complex shapes by representing its constituent parts by triangular facets. The software calculates the monostatic or bistatic RCS of the object for the parameters specified(POFACETS is an implementation of the physical optics approximation for predicting the radar cross section (RCS) of complex objects. It utilizes the scientific computational features of MATLAB and its Graphical User Interface (GUI) functions to provide an error-free encoding of input parameters and efficient calculation of RCS. POFACETS provides a convenient tool for a “first cut” at the RCS of complex shapes by representing its constituent parts by triangular facets. The software calculates the monostatic or bistatic RCS of the object for the parameters specified)

站长！这是使用LDA和PCA模式识别方法对人脸特征进行提取计算的Matlab程序框架，比较好！(head! This is the LDA and the use of pattern recognition methods on PCA Facial Feature Extraction for the Matlab program, good!)

CHORDSOL Chord method code for scalar equations. This code terminates on small relative-absolute errors, function [X, HIST] = CHORDSOL(X, F, TOLA, TOLR) Inputs: X = initial iterate F = function TOLA = absolute error tolerance TOLR = relative error tolerance Output: x=approximate result