lengman

可求最短路径和最小边覆盖颠覆盖和旅行商问题的图论程序，用matlab编写(Rectifiable shortest path and minimum edge covering and traveling salesman problem of subversion to build the graph theory procedures prepared by matlab)

基于MATLAB与VC混合编程的数字均衡器的设计，包含matlab源文件以及说明文档(Mixed Programming Based on MATLAB and VC digital equalizer design, which includes the source files and documentation matlab)

T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据，和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )

《MATLAB时频分析技术及其应用》代码(The M-files of MATLAB time-frequency analysis technology and its applications )

MATLAB Object-Oriented Programming

This project will do encryption by reserving room before encryption for better performance of the compressed image

MATLAB R2008图形与动画实例教程源程序(MATLAB R2008 graphics and animation tutorial source code examples)

Economic Dispatch for power generating systems with Lagrange method

李耀锟：网上的例子虽然很多，但是大部分是介绍PDE工具箱自带的一些例子，这些例子中解的区域，边界条件是PDE工具箱已经编写好的，直接调用就可以。对于该如何自己设定求解区域及边界条件，却很少有人涉及。网上搜索发现只有刘平在博客中详细介绍过求解区域的设定。下面以一个椭圆型方程的例子来详细说明求解的各个步骤，希望对大家能有所帮助。(An elliptic equation numerical method with matlab)

主要内容是电力机车牵引（HXD3）simulink仿真模型，采用的是转差型矢量控制(The main content is electric locomotive traction (HXD3) Simulink simulation model, using the slip vector control)