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非常好的matlab代码，欢迎下载分享学习！！！(this is a very good！！！！！！！！！)

说明：  改进欧拉法的matlab程序，并且其中有一个例子(Improved Euler method matlab program, and an example)

matlab仿真,随机过程，泊松过程产生级仿真过程。(this is soft simulink and use matlab,so we can learn possion process and its how to produce.matlab is powerful soft for it.)

VB.NET获取圆角矩形 能获取一个圆 和圆心坐标 也能获取矩形(VB.NET Get the Rounded Rectangle To obtain the coordinates of a circle and the center of the circle can also obtain the rectangular)

matlab遗传算法经典语句，可以让我们学到在别处学不到的东西，为我们在写程序的时候提供帮助。(matlab genetic algorithm classic statement, you can let us learn things you can not learn elsewhere, provided help for us in the writing program.)

s in academia, and in the military. In fact, in some sense, the 3D graphics we enjoy on our PCs today is a sort of Peace Dividend, since many professionals now working in the 3D chip, film and game development industries cut their teeth designing military simu

用AR模型对脑电信号特性进行提取，用的是matlab进行编程(AR model with the extracted EEG features, with the matlab programming)

MATLAB和c的先进PID算法测试文件，大学课程用先进PID算法。(The test file of advanced PID algorithm of MATLAB and C, university course with advanced PID algorithm.)

说明：  给定n种物品和一个背包,物品i的重量是Wi,价值是vi,被包容量是C,应该如何选择装入被包的物品,使得装入背包中物品的总价值最大?对于每种物品i,只有两种选择,装入或者不装入. 输入:第一行两个正整数n(物品数)和C(容量) 第二行n个正整数n,表示物品价值 第三行n个正整数n,表示物品重量 输出:第一行表示总价值 第二行n个数(0/1),0表示物品不装入,1表示装入 例如, 输入: 5 10 6 3 5 4 6 2 2 6 5 4 输出 15 1 1 0 0 1 (Species of a given n items and a backpack, the weight of item i is Wi, the value of vi, was packet capacity is C, should be how to choose a package of items to be loaded, the backpack load in the largest total value of goods? For each item i, there are only two options, loaded or not loaded. Input: the first line of the two positive integer n (the number of items) and C (capacity) of the second line of n positive integer n, that the value of the third line of n positive integer n, that the weight of output: the total value of the first line of the second line, said n number of (0/1), 0 that the items do not load, that load 1 for example, enter: 5,106,354,622 6 5 4 output 15 1 1 0 0 1)

利用正态分布和核密度估计计算分位数。包括正态分布分位数函数、核估计概率密度函数、核估计累计分布概率函数、核估计计算分位数函数。(Normal and kernel density estimation using sub-digit calculation. Including the normal quantile function, kernel estimate probability density function, cumulative distribution probability function kernel estimation, kernel estimate calculated quantile function.)