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空间Timoshenko梁单元

于 2021-03-11 发布

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下载积分: 1 下载次数: 25

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代码说明：

说明：对空间梁单元利用MATLAB进行了编程，仅供参考(The space beam element is programmed by MATLAB, just for reference)

文件列表：

空间Timoshenko梁单元\femApplybc.m, 280 , 2019-08-06
空间Timoshenko梁单元\femAssemblyel.m, 188 , 2019-08-18
空间Timoshenko梁单元\femAssemblyelMass.m, 192 , 2019-08-18
空间Timoshenko梁单元\femEldof.m, 163 , 2019-08-07
空间Timoshenko梁单元\FrameElement.m, 1168 , 2019-08-18
空间Timoshenko梁单元\modalshape.m, 768 , 2019-08-07
空间Timoshenko梁单元\Timoshenkobeam.m, 1569 , 2019-08-28
空间Timoshenko梁单元, 0 , 2019-08-28

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circfun_draw
说明：球函数可视化，在MATLAB环境下实现求函数的可视化，分实部和虚部作图(Global visual function in the MATLAB environment to achieve the visual demand function, the real and imaginary parts of sub-plot)

2010-04-12 21:27:08下载

积分：1
mappingRX
这是一个接收机解映射程序，可供无线通信仿真的朋友参考(This is demapping program)

2010-05-13 10:04:15下载

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随机信号的自相关函数和互相关函数Matlab
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积分：1
mimicfilter_powersystem
Mimic filter implementation

2010-10-16 10:27:59下载

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goldshengcheng
此文件为gold生成序列.m源文件适用于matlab进行仿真处理(this document for gold production sequence. M source document applies to handle Matlab simulation)

2007-05-03 22:54:34下载

积分：1
r_xy741251
本代码包含了利用可行点标记求最佳匹配算法的MATLAB代码，求最小费用最大流算法的CiPLIF程序，还有利用遗传算法解决 beofPcI 问题的Matlab程序。非常适合初学MATLAB的朋友学习。(The code contains the use of feasible point mark for the best match algorithm MATLAB code, find the minimum cost maximum flow algorithm CiPLIF program, as well as the use of genetic algorithms to solve the problem beofPcI Matlab program. Very suitable for beginners to learn MATLAB friends.)

2016-01-18 23:11:20下载

积分：1
skeleton
完美的带界面的MATLAB程序，可以实现对图像二值化，以及进行一次二次骨骼化(Perfect interface with MATLAB program that can realize the image binarization, as well as a second bone of)

2010-06-30 11:08:57下载

积分：1
cic
OFDM通信系统发射机和接收机的CIC滤波器设计(OFDM communication system transmitter and receiver filter design CIC)

2011-01-12 21:43:17下载

积分：1
ZEVEN
Matlab教程第7章，编程与数据分析、整理(Matlab Guide Chapter 7, programming and data analysis, sorting)

2013-07-20 10:08:35下载

积分：1
GSO and AS
说明：在学习优化算法的过程中，为快速了解算法求解过程，整理出这两个算法。通过蚁群算法和萤火虫算法对测试函数进行求解，以图片的形式展示算法迭代过程中蚂蚁或萤火虫的移动过程，了解算法特点。相对而言蚁群算法更快，但不一定能找到最优解。(By learning the optimization algorithm, the two algorithms are sorted out. The ant colony algorithm and the firefly algorithm are used to solve the test function. The moving process of the ant or firefly in the iterative process of the algorithm is shown in the form of pictures. To understand the characteristics of the algorithm, the ant colony algorithm is relatively faster, but it is not necessarily able to find the optimal solution.)

2019-12-16 11:01:27下载

积分：1

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空间Timoshenko梁单元

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