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MY_origin
节点在MATLAB下的部署，通信，以及能耗计算(Nodes deployed in under MATLAB, communications, and energy consumption calculation)
- 2021-04-10 14:08:59下载
- 积分：1
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femmatlab
本子程序包含5个子程序，其主要功能是：
（1） 子程序CXCY（E，L，IE，JE）的功能
用于计算各单元的杆件的长度及在结构坐标系中的倾角α的三角函数cosα、sinα。
（2） 子程序ELEA（E，L，IE，JE，A）的功能
用于计算结构坐标系下各单元刚度矩阵中的刚度系数。
（3） 子程序TOTAL（E，LNODE，KE，KZ）的功能
用于形成半带宽的结构原始刚度矩阵。
（4） 子程序FIFX（NP，FXI，FXJ，FYI，FYJ，MMI，MMJ，WL，IE，JE）的功能
它是用来计算各单元的等效节点荷载。
（5） 子程序STIFF（E，KE）的功能
(Book program consists of five sub-programs, and its main functions are:
(1) subroutine CXCY (E, L, IE, JE) function
The unit used to calculate the length of the bar and in the structure coordinates of the angle α of the trigonometric functions cosα, sinα.
(2) subroutine ELEA (E, L, IE, JE, A) function
Coordinate system used to calculate the structure of the element stiffness matrix stiffness.
(3) subroutine TOTAL (E, LNODE, KE, KZ) function
Used to form the structure of semi-bandwidth of the original stiffness matrix.
(4) subroutine FIFX (NP, FXI, FXJ, FYI, FYJ, MMI, MMJ, WL, IE, JE) function
It is used to calculate the equivalent nodal load of each unit.
(5) subroutine STIFF (E, KE) function
)
- 2011-12-10 13:19:17下载
- 积分：1
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Tut5_Files
小的源码Matlab编程，简单的课程可帮助学习这门课(small source code of matlab, simple tutorial is useful)
- 2009-02-07 03:19:20下载
- 积分：1
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Kalman
MATLAB实现Kalman滤波，注释详细，对Kalman滤波过程有详尽的解释，是初学者入门进阶的好程序(MATLAB implementation Kalman filtering, detailed notes on the Kalman filtering process has a detailed explanation on entry Advanced beginners are good procedures)
- 2009-03-04 08:53:25下载
- 积分：1
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Lyapunov_MRAC__State
状态完全可测时，基于Lyapunov稳定性理论的模型参考自适应控制(When the state is completely measurable, Lyapunov stability theory based model reference adaptive control)
- 2014-09-11 21:10:12下载
- 积分：1
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Animate_Four_Bar_Polodes
四杆机器人仿真 (Animate_Four_Bar_Polodes )
- 2013-08-07 17:47:15下载
- 积分：1
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function3
时滞微分方程组的原方程，以及相图程序，包括matlab源代码(Delay differential equations of the original equation, and the phase diagram of the program, including Matlab source code)
- 2020-11-19 21:59:38下载
- 积分：1
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kmeans
function [L,C] = kmeans(X,k)
KMEANS Cluster multivariate data using the k-means++ algorithm.
[L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class
label per column in X and a size(X,1)-by-k matrix C containing the
centers corresponding to each class.
Version: 07/08/11
Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be)
References:
[1] J. B. MacQueen, "Some Methods for Classification and Analysis of
MultiVariate Observations", in Proc. of the fifth Berkeley
Symposium on Mathematical Statistics and Probability, L. M. L. Cam
and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297.
[2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of
Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.
- 2011-12-22 19:38:16下载
- 积分：1
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AdoNetEntityDataModelCSharp
说明： 机器视觉啊；想下个东西哈哈哈哈哈哈哈哈哈(machine vision ,Think of the next thing)
- 2019-04-10 11:43:23下载
- 积分：1
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MDP4
a new and complete code for MDP prosses
- 2011-09-30 19:41:41下载
- 积分：1
