subplot

二次规划程序(Quadratic programming)在matlab的源代码(Quadratic programming codes in matlab)

遗传算法编程求解旅行商问题；图论中最短路问题的Matlab程序实现；背包问题模型的Matlab程序实现。(Genetic Algorithm for Solving Traveling Salesman Problem programming graph theory, shortest path problem in the Matlab program implementation knapsack problem Matlab model implementation process.)

利用AR模型对电力系统间谐波信号进行功率谱分析的matlab程序，另附一篇相关文章。(AR model using inter-harmonics on the power system signal analysis power spectrum matlab procedures related to a separate article.)

微多普勒处理雷达数据 已通过测试 微多普勒处理雷达数据 已通过测试(Micro- Doppler radar data processing has been tested Micro- Doppler radar data processing has been tested )

C_与MATLAB混合编程(英文版),讲解如何用C与MATLAB的混合编程运用。(C_ mixed with the MATLAB programming (English))

为工程设计人员提供帮助，同时为其它设计提供思路(guide)

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)

自适应最小均方（LMS）算法（基于matlab平台）(adaptive minimum mean square (LMS) algorithm (based on Matlab platform))

LATEX and BEAMER for beginners.

Arquivo do Fastreport para implementaç ã o