登录
首页 » WINDOWS » 3100-微分方程数值解法(第4版)-李荣华

3100-微分方程数值解法(第4版)-李荣华

于 2019-03-21 发布 文件大小:18850KB
0 257
下载积分: 1 下载次数: 0

代码说明:

  numerical solution on PDE

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • adoptivecontrol
    说明:  在SIMULINK下,实现自校正调节器和自校正控制器。(In SIMULINK, the realization of self-tuning regulator and self-tuning controller.)
    2008-11-25 19:08:32下载
    积分:1
  • GNsel
    GN距离法是一种基于马氏距离的建模集样品的挑选算法(GN distance method is a kind of based on markov distance modeling set sample selection algorithm)
    2013-01-07 19:14:43下载
    积分:1
  • matlap
    matlap for the function
    2012-04-02 22:13:33下载
    积分:1
  • ex9_14
    对微波基础理论的Matlab仿真。对于微波初学者有借鉴作用。程序补充三(based on microwave theory of Matlab. Microwave for a beginner lessons. Added three procedures)
    2007-04-04 17:31:36下载
    积分:1
  • 1-mammograms-Segmentation-for-detection-of-masses
    mammograms Segmentation for detection of masses breast
    2014-12-05 20:56:22下载
    积分:1
  • power_aperture_eq
    power aperture in matlab
    2010-11-21 00:34:37下载
    积分:1
  • marriage
    This is just a start of code for solving SMP using GA
    2010-12-30 09:44:42下载
    积分:1
  • Wavelet-Denoise
    是一个小波降噪的程序,里边包括了小波降噪的实例,有三种方法:默认阈值去噪;软硬阈值的去噪;强制性去噪。(Is a wavelet noise reduction program, including the inside of the Wavelet Transform instance, there are three ways: the default threshold denoising hard and soft threshold de-noising mandatory de-noising.)
    2016-06-09 09:10:33下载
    积分:1
  • Genetic-Programming-2012
    遗传规划的经典文献资料,介绍了目前最前沿的研究内容和方向。(The 15th European Conference on Genetic Programming (EuroGP) took place during April 11–13, 2012 in the historical city of M´ alaga, in southern Spain, a delightful place for the conference. Being the only conference exclusively devoted to genetic programming and the evolutionary generation of computer programs, EuroGP attracts scholars from all over the world.)
    2014-02-07 21:17:37下载
    积分:1
  • gm11
    function exp85 clear all p=[0:0.1:1.1] t=[22.4570 26.6012 12.6416 5.9367 6.9265 28.2432 31.5068 37.0166 7.8947 1.0398 12.7095] net=newff([0 1],[5 1],{ tansig purelin }, traingdx , learngdm ) net.trainParam.epochs=2500 net.trainParam.goal=0.001 net.trainParam.show=50 net=train(net,p,t) r=sim(net,p) plot(p,t,p,r, * ) y=sim(net,[1.2])
    2012-04-26 12:14:11下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载