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shortDistance
最短路径的算法, 程序, 代码, 采用Matlab实现.(short path source ocde, free code, matlab source code)
- 2010-08-05 16:44:33下载
- 积分：1
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Matlab005
用Maple和Matlab解决科学计算问题(with Maple and Matlab scientific computation to solve problems)
- 2004-12-17 08:59:38下载
- 积分：1
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hanoi.2957
como resolver la torre de hanoi
- 2010-11-15 10:31:07下载
- 积分：1
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sort
Shell sort is a very interesting modification of the sorting algorithm simple inserts.
- 2013-10-06 04:38:26下载
- 积分：1
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R
说明： 国内著名R语言入门教材清华大学出版社
介绍R语言基本应用，同时结合相关统计学理论进行实例分析(Chinese famous textbook of R
introduce R and example analysis)
- 2015-03-15 10:34:54下载
- 积分：1
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PROGRAMMATION-cPP-et-genie-logiciel
book to learn Visual c++ and logiciel
- 2014-02-19 12:13:40下载
- 积分：1
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VCOPID_Controlled
压控振荡器的压控算法控制，这个MATLAB仿真压控的PID算法，很有学习应用价值，是平常使用的，一定可行。
(VCO VCO control algorithm, the MATLAB simulation voltage control PID algorithm, great learning value is usually used, necessarily feasible.)
- 2016-10-16 19:17:50下载
- 积分：1
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fft
关于数字通信中DFT和FFT的仿真程序，真正有用(On DFT and FFT digital communication simulation program, really useful)
- 2010-12-09 13:21:38下载
- 积分：1
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fangboxiaozao
产生一个含噪声矩形波，用小波分析和傅里叶变换分析进行信号噪声消除并比较两者的去噪声能力。(Produce a rectangular wave Noisy, wavelet analysis and Fourier transform analysis of signal-to-noise cancellation and compare the ability of both to noise.)
- 2012-10-01 12:32:36下载
- 积分：1
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gongetidufadshuzhixingzhi
共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)
- 2012-03-26 18:48:46下载
- 积分：1
