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说明：  高斯分布期望优化（em）算法matlab实现，流量矩阵模型(Optimization of Gaussian distribution expectations (em) algorithm matlab realized, the flow matrix model)

利用改进的遗传算法求取函数的最大值，进行优化设计，在MATLAB下可以运行使用。(Using improved genetic algorithm to strike a function of the maximum optimized design, the use of MATLAB can be run under.)

实现信号的滤波新算法 ，直接输入文件名即可(To filter useing by matlab)

刘卫国-MATLAB程序设计与应用(第二版)教学资源(Liu Weiguo-MATLAB Program Design and Application (Second Edition) Teaching Resources)

Mathematica 的函数大全，在水木清华上被评为精华。里面列举的函数命令大多比较常用。(Collection of functions of Mathematica, SMTH was named in essence. Which lists most commonly used function of command.)

用matlab实现矩阵的高斯分解，A=LU,A为下三角，U为上三角(Gauss decomposition)

XPPOUT latest, Window GUI

非线性规划中的最速下降法,黄金分割法,阻尼牛顿法,牛顿切线法.(Non-linear programming in the steepest descent method, golden section method, damping Newton s Law, Newton s tangent method.)

edgelink的m文件，边缘检测分割以后的连接和着色(edgelink m file, the connection after the partition of the edge detection and coloring)

用批处理最速下降法训练网络，利用Matlab Script节点实现在此以对一个非线性函数的逼近作为例子来说明 (Batch steepest descent method to train the network to use Matlab script node to achieve this as an example of a nonlinear function approximation to illustrate)