OPF-MATLAB-

MATLAB非常丰富的计算机仿真实例与讲解，附有源代码。(MATLAB is very rich and explain examples of computer simulation, with source code.)

非线性规划中的信赖域法 特征值分解法 完整代码(Eigenvalue decomposition of the complete code of trust region method for linear programming)

particle filter粒子滤波简易程序(particle filter)

很多种算法！！！解压了您能看到！很全面！ 此文件夹中的文件，如需被利用，则要直接放至work目录下 “最短路径”中的程序为一个网友写的，我把它改编为函数，放在“最短路和次短路中”，与次短路的程序并列，因为要求次短路，首先要求出最短路。 (A variety of algorithms! ! ! Extract you can see! Very comprehensive! This file in the folder, For use, will have to be directly released to the work directory Program in the "shortest path" for a net friend, and I adapted it to function on most short-circuit and short circuit in the "tied to short-circuit, the procedures to the requirements of times short-circuit, the shortest path first asked. )

关于说话人识别的matlab源程序，另外还包括关于系统各个模块的说明(On Speaker Recognition Matlab source also includes instructions on the various modules of the system)

matlab code min-max MLE

sub function for the previous code

说明：  半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)

第四个例子滤波应用程序，可以了解粒子滤波的工作原理(fourth example filtering application that can understand the particle filter Principle)

Vector_Control_SVPWM SPWM matlab 编程(Vector_Control_SVPWM Vector_Control_SVPWM SPWM matlab 编程)