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GAbit_roulette
Introduction to Stochastic Search and Optimization
- 2010-01-07 20:40:49下载
- 积分:1
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inverse-broyden-iteration
matlab的发展环境,为解决大型迭代法的非线性方程组,M-file(matlab development environment, broyden iteration method for solution of nonlinear equations, in which M-file)
- 2012-02-10 23:27:03下载
- 积分:1
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Matlab_ControlSystemJingYi
说明: Matlab控制系统高级讲义以及课件中涉及到的算法的源程序,对matlab的进一步学习很有帮助,学控制的应该看看!(Matlab Control System courseware senior notes, as well as involved in the source algorithm on matlab helpful for further study, learning control should look at!)
- 2008-10-06 18:39:45下载
- 积分:1
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xiaobofenjiechengxu
这个命令是用Matlab编写的小波分解,希望对大家有用(This command is written in Matlab wavelet decomposition, we hope to be useful)
- 2011-01-07 15:35:50下载
- 积分:1
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sands
基于元胞自动机的沙漏程序,有详细的注释,适合于学习(Based on Cellular Automata hourglass procedures, detailed notes, suitable for learning)
- 2013-09-14 08:33:15下载
- 积分:1
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ieee_rts
电力系统20节点测试系统电力系统20节点测试系统电力系统20节点测试系统(20-node test system of the power system of the 20-node test system of the power system of the power system 20-node test system)
- 2013-04-12 15:40:30下载
- 积分:1
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cir4_trasformer
Three-phase electric power is a common method of alternating-current electric power generation, transmission, and distribution.[1] It is a type of polyphase system and is the most common method used by electrical grids worldwide to transfer power. It is also used to power large motors and other heavy loads. A three-phase system is usually more economical than an equivalent single-phase or two-phase system at the same voltage because it uses less conductor material to transmit electrical power.[2] The three-phase system was independently invented by Galileo Ferraris, Mikhail Dolivo-Dobrovolsky and Nikola Tesla in the late 1880s.
- 2013-12-16 15:23:30下载
- 积分:1
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TSPM
说明: tabu search scheduling problem using matlab
- 2020-06-23 06:20:02下载
- 积分:1
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tendency
关于线性非线性趋势项去除方法的研究及总结(Items on the linear non-linear trend removal method of research and summary)
- 2010-01-19 12:27:14下载
- 积分:1
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CSL1.0
A Comprehensive Sparse Learning Package(Descriptions: Six sparse algorithms are implemented in this package. They are
1) SVM
2) L1-norm SVM
a) Linear Programming SVM
b) SC-SVM
3) L0-norm SVM
4) RVM (Relevance Vector Machine)
5) SPC (Sparse Probit Classifier))
- 2013-07-23 11:31:33下载
- 积分:1