ATTENUATIONS

盲源分离中的J.F.Cardoso的对角化matlab源程序 (Blind Source Separation of JFCardoso diagonalization matlab source)

很好的正态分布matlab 代码，适合初学者！(Normal distribution matlab code good for beginners!)

说明：  用MATLAB编写程序实现大林控制和串级算法，带有详细的解说，通俗易懂(Dalin using MATLAB programming to achieve control and cascade algorithms, with detailed explanations, easy to understand)

Matlab code for multiclass svm

基于MRAS(模型参考自适应)方法的永磁同步电机控制MATLAB仿真模型（已调试,效果较好）(Based on MRAS (model reference adaptive) method of permanent magnet synchronous motor control MATLAB simulation model (has debug, better))

这些代码包括ofdm的实现和信道估计,可以运行,有指导程序的说明文档.(These codes, including the realization of OFDM and channel estimation, you can run, has the guidance of the procedure documentation.)

A program for comuting the reflectivity of DBR.in semiconductor lasers.

Ansys动力分析中大质量法的应用,主要用于地震动计算,行波及多点输入的实现(Dynamic Analysis Ansys massive application of the law, mainly for ground motion calculation, OK affecting the realization of multi-point input)

5.1 在VC++中调用Matlab引擎 matlabenginetest目录 5.2 VC++中调用Matlab *.m函数编译后的动态链接库 VC++中调用Matlab .m函数编译后的动态链接库目录(failed to translate)

0-1整数规划有很广泛的应用背景，比如指派问题，背包问题等等，实际上TSP问题也是一个0-1问题，当然这些问题都是NP问题，对于规模较大的问题用穷举法是没有办法在可接受的时间内求得最优解的，本程序只不过是一个练习，得意之处是用递归法把所有解都排列出来。另：胡运权所著的《运筹学基础及应用（第三版）》第97页的例3，我用本程序求解得到的结果是：最优解是x*=(1,0, 0, 0, 0)，最优值是f(x*)=8，但书求得最优解是x*=(1,0, 1, 0, 0)，最优值是f(x*)=4，是不是书中写错了，请大家验证。以下是源程序，大家可以任意使用无版权问题，另外，如果大家有大规模的0-1规划的问题也希望提供给我，谢谢。变量个数至少是3个(0-1 Integer Programming is a very broad background, such as assignment, bags and so on. actually TSP is a 0-1, of course, these problems are NP, for larger problem with the law is not exhaustive approach in an acceptable time frame to obtain the optimal solution. this procedure is only one practice, farewell tour is the method used recursive all of the solutions to show. Another : Hu Yun-author of "operational research, and application base (third edition)" Article 97 of the three cases, I use this procedure to solve the result is : is the optimal solution x = (1,0, 0, 0, 0), the optimal values of f (x*) = 8, but the book is to find the optimum solution x = (1,0, 1, 0, 0), the optimal values of f (x*) = 4, the book is not a mistake, please certification. Following is the source)