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yaoyaobang
电子摇摇棒的制作全部过程,绝对的源代码上传!(Electronic shook the whole process of production of rod and absolute source code upload!)
- 2010-03-03 16:15:33下载
- 积分:1
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Diffusion
求解抛物线形偏微分方程的Matlab代码(Parabolic partial differential equation of Matlab code)
- 2015-01-19 09:50:28下载
- 积分:1
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uac
用法:
{$R *.dfm}
{$R uac.res}
2个功能:
1、程序关闭时不再弹出无用的兼容性助手
2、使程序可弹出uac授权申请(Usage: {$ R* .dfm} {$ R uac.res} 2 functions: 1, when the program is closed no longer eject unwanted Compatibility Assistant 2, so that the program can be authorized to apply the pop uac)
- 2015-02-11 10:26:06下载
- 积分:1
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RSA
本程序实现RSA加密算法,通过本程序可以研究RSA加密算的核心思想,对研究加密算法有极大帮助!(This program implements RSA encryption algorithm. Through this program, we can study the core idea of RSA encryption, which is very helpful to the research of encryption algorithm.)
- 2018-11-10 15:04:38下载
- 积分:1
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rungekutta
用龙贝格积分法计算积分的程序,matlab语言编写,希望能对大家有用。(Romberg integration method with integral calculation procedures, matlab language, hoping to be useful to everyone.)
- 2020-12-16 20:29:12下载
- 积分:1
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gauss_seidel
this is a good method for load flow.
- 2011-05-18 21:52:21下载
- 积分:1
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Lingo
用lingo 程序解线性规划问题的式子.可能会对大家有用吧(Formula for Linear Programming Problems)
- 2011-05-20 17:04:54下载
- 积分:1
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teen
TEEN is a protocol developed for wireless sensor networks and is a routing protocol
- 2013-12-17 18:52:53下载
- 积分:1
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flappy_bird
游戏“flappy bird”,matlab代码。(Game " flappy bird" , matlab code.)
- 2014-02-25 19:40:28下载
- 积分:1
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PCA and ICA Package
This package contains functions that implement Principal Component Analysis (PCA) and its lesser known cousin, Independent Component Analysis (ICA).
PCA and ICA are implemented as functions in this package, and multiple examples are included to demonstrate their use.
In PCA, multi-dimensional data is projected onto the singular vectors corresponding to a few of its largest singular values. Such an operation effectively decomposes the input single into orthogonal components in the directions of largest variance in the data. As a result, PCA is often used in dimensionality reduction applications, where performing PCA yields a low-dimensional representation of data that can be reversed to closely reconstruct the original data.
In ICA, multi-dimensional data is decomposed into components that are maximally independent in the negentropy sense. ICA differs from PCA in that the low-dimensional signals do not necessarily correspond to the directions
- 2022-01-31 15:51:51下载
- 积分:1