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TSPproblem
用MATLAB开发的旅行商问题,可以设定不同的初始条件,进行求解。求解速度快!(Using MATLAB development of traveling salesman problem, you can set different initial conditions, to solve. Solving faster!)
- 2009-02-16 16:12:21下载
- 积分:1
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遗传算法模板
说明: 用vb写的遗传算法程序。是一些通用代码,与具体问题对应的代码空出来,用的时候填进去。(used to write the genetic algorithm. Some common code, with the specific issues the corresponding code space, and the time spent filling into account.)
- 2005-11-02 21:01:55下载
- 积分:1
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histeq
说明: 用非matlab工具箱实现直方图均衡化。(With non-realization of histogram equalization matlab toolbox.)
- 2010-03-30 22:34:01下载
- 积分:1
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interior-method
说明: 内点法的机组组合程序,采用不可行内点启动的原对偶线性规划内点法,采用了稀疏技术(unit commitment program using interior method)
- 2011-04-05 08:10:36下载
- 积分:1
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Applied-Econometrics-using-MATLAB
是一本英文版的关于matlab在金融领域应用的书籍,对于需要分析统计海量数据的人有一定帮助哦(This text describes a set of MATLAB functions that implement a host of
econometric estimation methods. )
- 2013-09-10 14:57:42下载
- 积分:1
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Calendar-program
应用matlab程序设计的一个日历界面,方便查询日历和日期(Application matlab programming a calendar interface, easy access calendar and date)
- 2013-05-22 17:14:12下载
- 积分:1
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cooperativecode
协作OFDM简单实现,采用AF模式,分析其性能(This file is simply realizing cooperative OFDM communicaiton about AF mode)
- 2010-10-19 19:42:23下载
- 积分:1
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chapter11
matlab神经网络43个案例分析源码11,关于连续Hopfield神经网络的优化—旅行商问题优化计算
(matlab neural network source code 11 43 case studies, optimization on a continuous Hopfield neural network- the traveling salesman problem optimization)
- 2014-11-04 21:18:22下载
- 积分:1
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N-sparse
创建一个n维的稀疏数组对象,n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而,它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说,稀疏的数据,首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上,如果目标数组的尺寸mxnxp……yxz,然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸(M×N×P×……×Y)XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测,你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map.
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- 2013-10-21 20:43:18下载
- 积分:1
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1001-5965(2013)04-0564-05
基于FFT 和专家系统的BLDCM 系统故障检测与识别.pdf(Fault detection and identification for dual-redundant BLDCM system using
FFT algorithm and expert system approach)
- 2014-02-02 08:03:47下载
- 积分:1