Entity_3D_Animation_SimEvents

RNW_perm(A) 利用Ryser-NW方法，计算n*n矩阵A的积和式。计算时间随着n 以2的指数倍增长。计算20*20以内的矩阵很快。 Hperm(A) 利用双元素展开计算非常稀疏的矩阵的积和式 symmRegular(n,k,m) 该命令要调用symmGen函数。 生成对称的k-regular n阶0-1矩阵的启发式算法。 参数n,k是必须的。m的默认值是10。 m设定尝试次数，如果该命令显示 fail ,表明经过m次尝试， 没有生成满足条件的矩阵。 symmGen(n,k) 这里k是一个n维向量，该命令启发式地生成一个以k为行和 的对称0-1矩阵。不能保证每次都成功，不过成功的概率一 般情况下尚可接受。(some useful code for numerical analysis)

异步电机矢量控制模型，包裹调速等 (Vector control induction motor model, speed control, such as parcel)

DFT变换求相位差和振幅大小程序，可以滤除噪声精确求得相位差和幅度值(DFT code)

Implementarea unui comparator pe 1 bit

code for some problems in smart antenna for wireless commnications

许多的数学建模书籍打包下载，是word格式 ！(Many of the mathematical modeling package to download books, is word format!)

关于污水处理厂中生化池中溶解氧的控制，程序使用的是一般的PID控制，PLC模块存放在PLC的CPU中，m文件中有OPC通讯。(About sewage treatment plant biochemical control of dissolved oxygen in the pool, the program uses the general PID control, PLC module is stored in the PLC CPU, m is the file has OPC communication.)

该资源详细讲述了matlab语言及软件的应用及在各领域内的应用(The resources described in detail the matlab language and software applications in various fields)

Study of optimal total cost of active power in AC-DC systems

四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计(Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four kinds of clustering algorithms source code and sample code, the ultimate goal of this program is to form a set of standards for clustering, scalable tools. Including the contents of a. Clustering algorithm: Kmeans and Kmedoid algorithms, FCMclust, GKclust, GGclust algorithm 2. Assessment classified prototypes: programs can be plotted in two-dimensional image, the results of clustering 3. Verify: Program to provide an algorithm to each authentication mechanism, each clustering algorithm will calculate Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several metrics.)