NavierCode

综合自然激励技术和特征系统实现算法，进行了模拟环境激励下结构的时域模态参数识别(In the method, the transition from structural random response to deterministic response was realized by the natural excitation technique(NExT))

强化学习之5讲解强化学习的工作原理，通过编程实现(Strengthening the 5 explanation of the working principle of intensive learning by programming)

Optimization Tool Box for use in Matlab

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.)

The purp ose of this Primer is to help you b egin to use MATLAB. It is not intendedto b e a substitute for the User s Guide and Reference The purpose of this Primer is to help you begin to use Matlab.The Primer can best be used hands-on. You are encouraged to work at the computer as you read thePrimer and freely exp eriment with examples. This Primer, along with the on-line helpfacility, usually suce for students in a class requiring use of MATLAB

2*1 alamouti code, MIMO Rayleigh fading Channel Capacity, and waterfilling

用来计算线性拉登变换免费工具包包括 MATLAB 演示程序 产品信息和示例等等 (High Availability Large Data Sets, High Performance )

Constrained optimization has been explained with matlab 2007a. This has been explained with various benchmark functions. The main program can be directly applied to knapsack problem and portfolio optimization problem directly. These programs have been written in a menu driven manner.

periodogram in a white noice

说明：  这是并联6自由度机构的位置反解、速度、加速度及动力学分析的代码(This is a 6-DOF parallel inverse position institutions, velocity, acceleration and dynamic analysis of code)