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MATLAB_on_the_classic_edge_detection_tutorial
MATLAB对图像进行边缘检测经典教程MATLAB on the classic edge detection tutorial(MATLAB on the classic edge detection tutorial MATLAB on the classic edge detection tutorial)
- 2010-08-02 09:21:48下载
- 积分:1
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12
说明: 运用MATLAB语言将矩形波转换成正弦波以及绘制学生成绩图(The use of MATLAB language to convert the rectangular wave sine wave and the mapping of student achievement plans)
- 2010-01-16 11:08:50下载
- 积分:1
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matlab-Dijkstra
基于matlab Dijkstra算法的实现(matlab Dijkstra)
- 2011-09-11 15:24:19下载
- 积分:1
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Untitled2
信号发生器 可以产生三角波郑玄波!等等 是基于GUI设计的 打家可以参考一下(how are you!)
- 2013-12-02 14:57:20下载
- 积分:1
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200742423462035902
This I develops based on the B/S structure student managementsystem management system, hoped brings a help to the novice(develops based on the B/S structur e student management system managementsystem , hoped brings a help to the novice)
- 2007-05-13 17:25:46下载
- 积分:1
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cdwave_korn_teste
Wave drag estimation for wings according to Korn method
- 2013-01-30 19:31:47下载
- 积分:1
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HP-550
Manual usuario notebook HP 550.
- 2013-11-05 10:28:52下载
- 积分:1
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denoising
使用隐马尔可夫模型在小波域降噪处理运行环境Matlab(use of hidden Markov model in wavelet domain noise reduction processing operating environment Matlab)
- 2007-01-12 10:08:16下载
- 积分:1
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MATLAB6.5
说明: 一本关于Matlab6.5辅助优化计算与设计的书,希望能帮到大家(Matlab6.5 assisted on an optimized calculation and design of the book, I hope to help everyone)
- 2008-11-29 14:15:38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