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CF_Hp3
经典辨识方法————脉冲响应下的、差分方程法的便辨识(---- Classical identification method under the impulse response, then the differential equation method to identify)
- 2009-05-30 17:30:47下载
- 积分：1
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xiongyalisuanfa
说明： 求解最大匹配问题的matlab源程序，代码详尽并附有说明(Solving the problem of maximum matching matlab source code with a detailed description)
- 2009-08-08 09:45:03下载
- 积分：1
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grady2004space_phd_code.tar
说明： 该源代码是Leo Grady，基于随机游走算法来实现的图片切割(The source code is Leo Grady, based on random walk algorithm to realize the image cut)
- 2010-04-26 08:52:04下载
- 积分：1
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acmdemos
active contour model using matlab
- 2011-06-21 17:16:06下载
- 积分：1
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webserver-matlab-
无线传感器网络与matlab的结合，用来进行仿真，有助于wsn的学习(Matlab wireless sensor network and the combination used for simulation, the study will help wsn)
- 2011-09-16 11:02:43下载
- 积分：1
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sar_echo
线性调频信号的回波 线性调频信号的回波 线性调频信号的回波(chirps signs)
- 2013-12-14 10:01:25下载
- 积分：1
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toolbox_fast_marching
这也是我在网上下载的,不知是否好用,主要用于半自动提取线状图形.(It is used for semi-autometic extracting line-shaped image)
- 2009-10-28 08:59:43下载
- 积分：1
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chazhiyugouzao
小波差值与构造，三个matlab程序，希望对大家有用(Wavelet difference with the structure, three matlab procedures useful for everyone)
- 2008-03-30 00:37:52下载
- 积分：1
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efl_09_Lesson91
e-collaboration on Asia Pallet Pool System
- 2014-02-10 20:17:00下载
- 积分：1
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FR
说明： 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。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)
- 2017-05-05 10:26:25下载
- 积分：1
