matlab

粒子群优化(PSO)算法是计算智能领域，除蚁群算法外的另外一种基于群体智能的优化算法。(Particle Swarm Optimization)

说明：  本章的内容更深入MATLAB可视化功能的内核。编写本章的目的有两个：一，使读者更深入地理解高层绘图指令，从而可绘制出更精细更生动更个性的图形；二，使读者能利用低层图形指令和图形对象属性开发专用绘图函数(This chapter more in-depth visualization of the core MATLAB. The purpose of the preparation of this chapter, there are two: First, make readers more in-depth understanding of high-level graphics commands, which can draw out the finer more vivid and personalized graphics 2, so that readers can use low-level graphics commands and graphics object properties developed special drawing functions)

说明：  针对tecplot导出的dat（point格式）文件进行处理(program(matlab) for data file exported by Tecplot,the data structure is POINT.After process data file,load the new file in the Tecplot.)

below shows the variation in angle and position of the cart. We can see that the position of the cart keeps on increasing i.e., the cart moves continuously without stopping and the angle of the pendulum

有限差分法实验报告 用Matlab中的有限差分法计算槽内电位； 对比解析法和数值法的异同点； 选取一点，绘制收敛曲线； 总的三维电位图(Finite difference method for the experiment report Matlab finite difference method for calculating the slots in the potential Comparative analytic method and numerical method the differences and similarities between Select a bit, draw convergence curves General 3 d potential figure )

Peter Kovesi 编制的Harris角点检测Matlab程序(Peter Kovesi prepared by Harris corner detection Matlab procedures)

matlab book good book

Simulation Study on Four-quadrant Cascade Multilevel Inverter Based on AC Voltage Sensorless Simple Cell

用matlab编写的实现Newton形式的hermite插值法的代码，生成图像可显示第一节点，第二节点，误差点。(Implementation prepared by matlab hermite interpolation Newton form of the code, generating the image to show the first node, second node, the error point.)

说明：  提出了一种基于改进型微粒群算法的无线传 感器网络分簇路由算法来优化分簇过程。簇首节点的选取综合考虑候选节点和邻居节点的状态信息(Proposed a modified particle swarm algorithm based on wireless sensor network clustering routing algorithm to optimize the clustering process. Cluster head node, considering the selection of the candidate node and the neighbor node state information)