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sph1
The smooth particle
hydrodynamics (SPH), the diffuse element method (DEM), the element-free Galerkin
method (EFGM), the reproducing kernel particle method (RKPM), the moving-particle
semi-implicit method (MPS) are among others. However, it seems that these meshless
methods have not succeeded in replacing the FEM analysis completely, while they show
excellent performance in several special fields.
- 2010-07-30 02:18:10下载
- 积分:1
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wind_rose
利用MATLAB展示风玫瑰图,进行气象分析,统计分析,以及风资源分析(plot windrose pictures by matlab)
- 2009-12-25 16:14:48下载
- 积分:1
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TANSHE
液压弹射的辅助计算程序,主要针对弹射的时间和受力大小分析(Auxiliary hydraulic catapult calculation program, mainly for ejection time and size of the force analysis)
- 2013-09-12 11:44:49下载
- 积分:1
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facedetection
人脸检测,根据人脸肤色的特征,检测出人脸的轮廓的matlab代码(Face detection matlab code)
- 2015-03-26 16:53:08下载
- 积分:1
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thesis22
variable frequency derive
- 2014-09-16 12:58:01下载
- 积分:1
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fuzzycontrol
基于模糊控制的路边平行停车仿真matlab源代码,对于学习模糊控制理论有帮助。(Parallel parking simulation matlab source code is based on fuzzy control roadside, for learning fuzzy control theory help.)
- 2014-12-21 14:31:38下载
- 积分:1
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sos-tools
this is an SOS Tool for Matlab users
- 2015-01-05 15:34:33下载
- 积分:1
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CNC-Videos
THIS VEDIO FROM EDUCATION CD ABUT CNC AND MATLAB
- 2010-12-14 21:03:31下载
- 积分:1
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colone-immune-algorithm
克隆免疫算法,将记忆库种群采用克隆算法进行复制(Immune clone algorithm, using cloned populations of memory copy algorithm)
- 2011-09-20 09:26:31下载
- 积分:1
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moving_average_v3.1
Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps.
(MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast.
MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact.
NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements.
NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)
- 2009-03-06 23:10:07下载
- 积分:1