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matlab最优化程序包括 无约束一维极值问题 进退法 黄金分割法 斐波那契法 牛顿法基本牛顿法 全局牛顿法 割线法 抛物线法 三次插值法 可接受搜索法 Goidstein法 Wolfe.Powell法 单纯形搜索法 Powell法 最速下降法 共轭梯度法 牛顿法 修正牛顿法 拟牛顿法 信赖域法 显式最速下降法(matlab optimization program includes one-dimensional extremum problem without constraint advance and retreat method Fafei Bo Fibonacci golden section method the basic Newton method, global Newton method Newton secant parabola method acceptable to the three interpolation methods Wolfe.Powell search method Goidstein simplex method Searching Powell steepest descent method conjugate gradient method modified Newton method Newton Newton trust region method to be explicitly steepest descent method)

自适应滤波算法（最小均方误差算法）matlab源码程序。(Adaptive filtering algorithm matlab source program。)

实现MATLAB控制生成EXCEL XLS数据文件(Generation Excel XLS data files)

Segmentation of iris and its normalization in matlab

compute pca for face detection by matlab

用Matlab编写的对于给定传递系统的阶跃响应和采用修正函数后的阶跃响应(Prepared using Matlab for a given transmission system step response and the adoption of the amendment after the step response function)

Finite Difference Programming for Matlab in 2D (Poisuille flow)

在快匹配运动估计算法中,它的计算复杂度可以描述成:运算量=搜索点×块匹配准则.该表达式可以这样解释,在快匹配准则确定的情况下,如果一个匹配点的单位运算量确定了,这时动动估计的动算量就有直接取于搜索的点数,也就是取决于运动估计的搜索算法，实现了三步搜索法(Match the fast motion estimation algorithm, its computational complexity can be described as: Operational × volume = search block-matching criteria points. The expression can be interpreted in such a way, the fast matching criterion to determine the circumstances, if a match point of the unit operator determine the amount, and then moving moving moving estimate of the volume operator has direct access to the points in the search, that is, depends on the motion estimation search algorithm, to achieve a three-step search method)

说明：  一个用MATLAB写的ART1神经网络原代码(a MATLAB write ART1 neural network original code!)

说明：  分布式视频编码程序，不包括传统帧编码部分，仅WZ编码部分，对信源进行了分类，小波变换，LDPC等(Distributed video coding process, not including traditional frame coding part, only part of WZ coding, the source for the classification, wavelet transform, LDPC, etc.)