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Matlab_zuixiaofeiyong
最小费用最大流算法通用Matlab函数
基于Floyd最短路算法的Ford和Fulkerson迭加算法 基本思路：把各条弧上单位流量的费用看成某种长度,用Floyd求最短路的方法确定一条 自V1至Vn的最短路 再将这条最短路作为可扩充路,用求解最大流问题的方法将其上的流 量增至最大可能值 而这条最短路上的流量增加后,其上各条弧的单位流量的费用要重新 确定,如此多次迭代,最终得到最小费用最大流.(Minimum cost maximum flow algorithm general Matlab functions The basic idea of the shortest path algorithm of Ford and Fulkerson superposition algorithm based on Floyd: the cost of unit flow on the arc as a certain length of Floyd and the shortest path method to determine the one percent self-V1 to the Vn the most short-circuit and then the this Article is the most short-circuit as a can be the expansion Lu, to use solving the method of the the the problem of the maximum flow will its on the stream the amount of increased to the maximum possible values while the the the the flow of of this Article of the shortest on the road increase, the costs of the unit of flow on each arc sure, so many iterations, the final minimum cost maximum flow.)
- 2012-07-27 14:55:22下载
- 积分：1
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Gain_Edge
Matlab环境中的一种改进的边缘提取算法(MATLAB environment an improved edge extraction algorithm)
- 2012-11-12 21:33:39下载
- 积分：1
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Alamoudi
The alamouti coding ABER curve generator...
- 2010-02-22 05:43:09下载
- 积分：1
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review
说明： 冈萨雷斯数字图像处理的一个review 简洁不错(a review of digital image processing)
- 2009-08-08 19:01:32下载
- 积分：1
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DTMF
利用MATLAB 仿真DTMF音频的产生及其解码的程序代码。很好！
(Simulation using MATLAB DTMF generation and decoding the audio code. Very good!)
- 2010-05-24 13:42:03下载
- 积分：1
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p6
说明： Voltage distribution in a triangle
- 2014-11-09 16:04:34下载
- 积分：1
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IterativeClosestPointMethod
ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model - matrix with model points,
data - matrix with data points,
OUTPUT:
R - rotation matrix and
T - translation vector accordingly
so
newdata = R*data + T .
newdata are transformed data points to fit model
see help icp for more information
(ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model- matrix with model points,
data- matrix with data points,
OUTPUT:
R- rotation matrix and
T- translation vector accordingly
so
newdata = R*data+ T .
newdata are transformed data points to fit model
see help icp for more information
)
- 2007-09-09 16:06:34下载
- 积分：1
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EXAMPLE
it is about matlab file for 1 story building
- 2009-03-22 01:34:58下载
- 积分：1
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Fundation-of-Matlab
详细介绍了MATLAB的基础，并结合实例讲解了其应用(Details of the basis of MATLAB and explain with examples of its application)
- 2013-09-10 12:23:29下载
- 积分：1
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A1_15
mathews数值分析书的源代码，用matlab编写，第一章第十五部分。(mathews numerical analysis of the book' s source code, using matlab, the first chapter in Part XV.)
- 2011-10-20 10:27:54下载
- 积分：1
