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DMC，MAC以及广义预测控制的一些程序(DMC, MAC and generalized predictive control of some of the procedures )

支持向量机分类源程序，需要的同志们可以下载试一下(Support vector machine classifier source code, you can download the comrades need to try)

本程序实现Lena图像的压缩传感，测量矩阵为哈达玛测量矩阵，重构算法采用OMP重构算法(This procedure Lena image compression sensing, measurement matrix is ​ ​ Hadamard measurement matrix, reconstruction algorithm using OMP reconstruction algorithm)

ome numerical calculation using matlab code, suitable for novice matlab and digital computing use, according to the ideological preparation of matlab matrix, for beginners to grasp a better matlab programming ideas useful...

libsvm，适合人工智能和模式识别的初学者(libsvm, to fit artificial intelligence and pattern recognition beginners)

视频序列处理的一些素材图片，是自己截取典型yuv序列中的bmp图，非常不错。(Video sequence processing some of the material picture, is typical of his interception yuv sequence bmp maps, very good.)

说明：  color histogram, cloud histogram. got from file exchange,m not d author

Chaos and nonlinear dynamics application to financial markets

Matlab documentations in French

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.