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inverse
用matlab写的五种矩阵求逆程序，里面含有说明文件(Using matlab to write five matrix inversion procedure, which contains documentation)
- 2008-01-04 18:45:12下载
- 积分：1
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knn
k近邻准则matlab实现，适合初学者。(K neighbor standards matlab, is suitable for beginners.
)
- 2012-04-19 17:41:30下载
- 积分：1
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huffmancode
利用huffman算法进行的编码，主要采用基本循环实现，速度快。其中code文件为主程序。(Using huffman coding algorithm, the main use of the basic cycle of implementation, fast. In which the main program code file.)
- 2010-01-11 13:56:36下载
- 积分：1
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case39
电力系统IEEE39节点系统潮流计算所需数据(Data needed for power flow calculation of power system IEEE39 test system)
- 2018-09-10 19:04:49下载
- 积分：1
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CP08
UWB接收性能仿真 包括高斯信道 模板信号 误码率(UWB receiver performance simulation include the Gaussian channel template signal bit error rate)
- 2009-09-14 11:22:53下载
- 积分：1
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IIR2
数字信号处理实验，IIR滤波器，内含有matlab实验m文件以及实验报告，供大家参考。(Digital signal processing experiment, IIR filter, contains matlab experiment m documents and the experiment report for your reference.
)
- 2012-01-07 21:59:02下载
- 积分：1
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henhaodesousuosuanfa
这是中国数学建模中编程交流上搜索算法内容，里面提供了很多搜索算法的例子(This is the exchange of mathematical modeling in the programming content on the search algorithm, which provides many examples of search algorithms)
- 2010-11-20 19:44:43下载
- 积分：1
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tsp2matlab
说明： 该程序试图对具有31个城市的VRP进行求解，已知的最优解为784.1，我用该程序只能优化到810左右，应该是陷入局部最优，但我不知问题出在什么地方。请用过蚁群算法的高手指教。
蚁群算法的matlab源码，同时请指出为何不能优化到已知的最好解(The program attempts to have 31 cities of the VRP is solved, the optimal solution is known as 784.1, I use the program can only be optimized to about 810, should fall into local optimum, but I do not know where the problem is. Please teach master ant colony algorithm used. Ant colony matlab source, also please explain why not optimize the best solution to a known)
- 2010-04-27 20:09:43下载
- 积分：1
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three_level_diode_clamped_DCsource_Testing
three level diode clamped D Csource Testing
- 2014-12-22 19:41:47下载
- 积分：1
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旅行商问题
基于遗传算法求解旅行商问题（TSP）
首先采用随机生成点函数，生成一幅地图。假定一个点对应一个城市。
之后用该地图求解旅行商问题(Solving Traveling Salesman Problem (TSP) Based on Genetic Algorithms
Firstly, a map is generated by random generating point function. Suppose a point corresponds to a city.
Then the map is used to solve the traveling salesman problem.)
- 2020-12-21 16:29:08下载
- 积分：1
