fun

粒子群优化算法演示，演示2d粒子群优化算法(Particle Swarm Optimization demonstration, demo 2d particle swarm optimization algorithm)

说明：  巧妙的运用matlab控件自编程序！很有意思哦！在信号分析领域用途广泛！(clever use of Matlab self control procedures! Very interesting! In the field of signal analysis of a wide range of uses!)

在这项工作中所使用的方法是基于一个由大卫阿诺德教程。 http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf 这将运行该Logistic.m带来了图形用户界面。 1。放弃在列的格式文本文件中的x值 2。放弃在山口格式文本文件中的y值 3。的阴谋初始 按钮将绘制的分布 4。 查找适合 按钮，会找到最适合 5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间） 5。地下K，糖尿病在下列公式中的值 Ÿ 等于k/（1+进出口（- G *的（十型录））） 6。上证所给出了squred误差之间的拟合函数与实际数据的总和 7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold. http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf RUN The Logistic.m this will bring up the GUI. 1. Give the x values on a text file in column format 2. Give the y values on a text file in col format 3. Plot Initial Button will plot the distribution 4. Find Fit button will find the best fit 5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time) 5. K, G, Dm are the values in the following equation y = K./(1+exp(-G*(x-Dm))) 6. SSE gives the sum of squred error between the fitted function and the actual data 7. CC give the correlation co-efficient between the fitted function and actual data)

cmake验证是否安装正确， 验证是否安装正确(cmake cmake cmake installation installation correct)

SINE PWM FINAL SIMULATION

Rossler混沌系统Lyapunov指数的Matlab实现代码，Rossler 混沌系统Lyapunov指数的Matlab实现代码。(Rossler chaotic system Lyapunov index of Matlab implementation code,Rossler chaotic system Lyapunov index of Matlab implementation code.)

satellite link budget analysis using matlab

Matlab优化视频（二）：全局优化方法及应用(by考拉)(The Matlab Optimization Video (b): global optimization and the application (by Koala))

使用matlab进行编程实现卡尔曼滤波器(Kalman filter matlab programming)

The chebfun project is a collection of algorithms, and a software system in object-oriented Matlab, which extends familiar powerful methods of numerical computation involving numbers to continuous or piecewise-continuous functions. It also implements continuous analogues of linear algebra notions like the QR decomposition and the SVD. The mathematical basis of the system combines tools of Chebyshev expansions, fast Fourier transform, barycentric interpolation, Clenshaw-Curtis quadrature, and recursive zerofinding.