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说明：   Matlab 游戏 &raquo(Matlab games>>)

matlab based image arithmetic

数学建模中画散点图，伪彩色图，等高线图，三维曲面图；数据可以从excel中直接导入(Mathematical modeling of scatter diagram, pseudo color map, contour map, 3-D surface chart data the excel directly.)

excellent plotting toll of signals

直角坐标法的潮流程序，关于一个5节点的算例，有数据(Cartesian method of trends program, on a 5-node example, with data)

里面收集了matlab的绝大多数命令，是matlab初学者的一个很好的工具！

电位电极系测井曲线，用matlab编写,可用于学测井的人参考(Potential electrode system logs, prepared by matlab, people can learn logging for reference)

基于CV模型的目标跟踪算法程序源码；提供详细的误差对比及绘图；仅供参考(CV model target tracking algorithm based on Open Source provide a detailed comparison and mapping error for reference only)

matlab 100个小程序，可以好好看看，都是经典的学习各种知识应用(matlab knowledge)

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)