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matlabworkElectricalpowerandvoltagecalculate
电力系统潮流计算 采取牛顿-拉弗逊法和PQ分解法 用matlab计算矩阵的功能，通过迭代方式求解。(power flow calculation taken Newton-Laffer Robertson and PQ decomposition matrix calculation using Matlab gong able, through iterative method to solve.)
- 2020-12-01 20:29:26下载
- 积分：1
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image-segmentation-of-HCM-and-FCM
是关于HCM和FCM的图像分割效果比较的matlab源代码程序，有比较的结果。(It is about image segmentation comparison based on HCM and FCM, a matlab code. )
- 2014-02-12 11:40:59下载
- 积分：1
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nonlinear-equations-with-MATLAB.
用MATLAB实现非线性方程的数值解法。主要有不动点迭代法，牛顿法，割线法和对称秩法的MATLAB源码。(Numerical solution of nonlinear equations with MATLAB. Fixed point iteration method, Newton, secant, and the symmetry rank of the MATLAB source.)
- 2012-04-01 14:37:01下载
- 积分：1
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Fast_SC
非常快速的稀疏编码求解过程。可以用于各种类型的数据(fast solving the problem of sparse coding.You can apply sparse coding to any type of general data.)
- 2014-08-23 20:45:57下载
- 积分：1
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Matlab-and-C-CPP-mixed-programming
Matlab 和C C++ 混合编程
刘维编著(Matlab and C C++ mixture programming)
- 2013-09-09 20:53:41下载
- 积分：1
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adi
Example of ADI method foe 2D heat equation.
- 2012-10-05 19:35:42下载
- 积分：1
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Nothing-ToEnvy
《我们最幸福：北朝鲜人民的真实生活》（英语：Nothing to Envy: Ordinary Lives in North Korea）是《洛杉矶时报》记者芭芭拉·德米克（Barbara Demick）访问6位来自朝鲜清津市的脱北者后，于2009年出版的半小说形式报道文学书籍。("We are most happy: the real life of the people of North Korea" (English: Nothing to Envy: Ordinary Lives in North Korea) is the "Los Angeles Times" reporter Barbara Demick (Barbara Demick) Access 6 from North Korea Chongjin after the defectors, published in 2009 in the form of semi-fiction books literature reports.)
- 2014-01-11 15:53:39下载
- 积分：1
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Huffman
该文件详细介绍了哈夫曼编码的程序，并详细介绍完整的matlab仿真过程。(The document details the procedures for Huffman coding, and details the complete matlab simulation.
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- 2010-11-15 11:17:32下载
- 积分：1
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feixianxing
使用MATLAB来进行非线性方程的求解，具体的算法源码都以给出。(Use MATLAB to carry out non-linear equations, specific algorithms have to give source code.)
- 2010-01-15 13:42:17下载
- 积分：1
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huffmn
In computer science and information theory, Huffman coding is an entropy encoding algorithm used for lossless data compression. The term refers to the use of a variable-length code table for encoding a source symbol (such as a character in a file) where the variable-length code table has been derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol. It was developed by David A. Huffman while he was a Ph.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes".
- 2011-08-04 12:06:07下载
- 积分：1
