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gujiatiqufa
这是用matlab语言编写的骨架提取法，比较基础，适合基础学习者使用(this is gujiatiqufa made by matlab)
- 2010-12-07 22:33:54下载
- 积分：1
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partial-equations
基于MATLAB环境下偏微分方程组的求解对应的代码 简单明了 便于初学者学习使用(Based on the MATLAB environment to solve partial differential equations corresponding code is simple for beginners to learn to use)
- 2013-09-14 23:52:16下载
- 积分：1
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dfield8
画常微分方程的方向场；点击方向场平面图，出现初值曲线。(The direction of the field painting of ordinary differential equations Click Floor Plan direction, there initial curve.)
- 2011-11-18 20:57:09下载
- 积分：1
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droop4
下垂控制的matlab仿真,有功和无功的调节。(simulink of droop control，adjust of active power and reactive power.)
- 2013-07-30 16:44:59下载
- 积分：1
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adapt_filter_arithmetic
一种自适应滤波算法，可进行lms和rls算法学习和实现(An adaptive filtering algorithm, LMS and RLS algorithms can be learning and implementation
)
- 2013-11-01 08:00:35下载
- 积分：1
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LDA
LDA，即线性判别分析。本程序介绍了经典的LDA算法，希望能对各位读者有所帮助。(LDA, namely linear discriminant analysis. This program introduces the classical LDA algorithm, hoping to help all of you readers.)
- 2015-01-21 10:24:50下载
- 积分：1
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chapter9.project
Opnet moduler 14.5 example of wireless communication
Author Mithilesh Patel
- 2015-01-22 18:15:06下载
- 积分：1
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Histogram
Histogram Equalization
- 2011-12-23 14:39:22下载
- 积分：1
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timeserils
说明： 时间序列工具箱可以解决很多时间序列预测问题，大家可以试一试的。用过的，真的很好。(Time series toolbox can solve a lot of time series prediction problem, we can try to. Used, really good.)
- 2010-04-15 13:23:30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
