登录
首页 » matlab » romberg

romberg

于 2013-06-26 发布 文件大小:1KB
0 234
下载积分: 1 下载次数: 2

代码说明:

  计算方法中得romberg算法,matlab编程(Calculation method was romberg algorithm, matlab programming)

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

  • BNonlearfilter
    给于MATLAB 环境下的非线性滤波器。此设计中用到了,混合网络建模。B样条网络和对角递归神经元网络。(In the MATLAB environment to the non-linear filter. This design used a mixed network modeling. B-spline network and on the diagonal recurrent neural network.)
    2020-10-14 14:47:30下载
    积分:1
  • l1_ls
    稀疏表示分类算法,用于样本分类的数学算法(Sparse that classification algorithms, mathematical algorithms for sample classification)
    2011-10-04 09:28:19下载
    积分:1
  • MATLAB
    matlab系统仿真的说明,例子多样清楚,简单易懂(system simulation matlab note, for example, clearly diverse, easy-to-read)
    2009-03-26 13:44:00下载
    积分:1
  • redgit
    为stanford大学donoho教授所编写的redgit变换源代码。是用c编写的,但已转化至matlab环境使用。(For stanford university, prepared by Professor Donoho redgit transform the source code. C is prepared, it has been transformed to use the matlab environment.)
    2008-07-21 07:59:23下载
    积分:1
  • Matlab_Simulink_Reference
    Matlab的英文原版Simulink仿真的参考教程…… (Matlab Simulink Reference,Hope it was useful for someone...)
    2009-12-03 21:31:04下载
    积分:1
  • MATLAB.GUI1
    MATLAB.GUI教学视频1:简单的文本框数据传递(MATLAB.GUI instructional videos: simple text box data transfer)
    2013-05-11 19:51:33下载
    积分:1
  • matlab-gpc
    一阶纯滞后分段传递函数系统的模型预测控制matlab代码(matlab gpc)
    2021-02-28 11:39:35下载
    积分:1
  • fopid
    陈阳泉教授以及其他学者的有关分数阶PID方面的 论文;经典值得学习,与大家共享;仿真以Matlab为主(Papers Fractional PID aspects related to Professor Chen Yangquan and other scholars classic worth learning, shared with everyone simulation in Matlab-based)
    2014-02-20 14:37:38下载
    积分:1
  • LyapunovExponents
    计算李雅普诺夫指数的matlab程序,文件中有使用说明,希望对大家有帮助,谢谢!不需要任何条件即可下载(Matlab program Lyapunov index calculation, the paper had used, hoping to be helpful, thank you! Do not need to download any of the conditions)
    2010-09-27 19:21:47下载
    积分:1
  • linproj
    模型是结构体类型的线性投影Y = linproj(X, model) 其中W.model为线性投影矩阵, Y = model.W *X + model.b b为偏差值( Description: Y = linproj(X, model) linearly projects data in X such that Y = model.W *X+ model.b out_data = linproj(in_data, model) projects in_data.X out_data.X = model.W *in_data.X+ model.b out_data.y = in_data.y Input: model [struct] linear projection: .W [dim x ncomp] Projection matrix. .b [ncomp x 1] Bias.)
    2011-05-01 18:11:47下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载