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matlab-Optimization-2
是matlab关于线性优化的一个很好的算法,很实用(Matlab a good algorithm for linear optimization, it is practical)
- 2012-08-27 13:24:29下载
- 积分:1
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Stock-market-prediction-matlab
可以用来进行股市预测的matlab代码,直接模仿就可以用了(Can be used for stock market prediction matlab code, you can use a direct imitation)
- 2013-10-01 22:21:52下载
- 积分:1
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gonglv
根据输入值的大小和输出值得大小,绘制相应的曲线,功率谱图(The size of the input and output values worthy size, draw the curve of the power spectrum)
- 2013-09-22 12:28:26下载
- 积分:1
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用四元数法的捷联惯性导航姿态解算程序
navi test
用四元数法的捷联惯性导航姿态解算程序。可以快速准确得到数据。(With the quaternion method Inertial attitude solver. You can get fast and accurate data.)
- 2011-12-26 18:50:42下载
- 积分:1
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GA-Methods
GA Optimization methods for real numbers (continuous numbers)
- 2014-09-16 19:30:16下载
- 积分:1
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release
donwload from Matlab source code
- 2009-09-28 16:48:33下载
- 积分:1
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MATLABusingincomputervision
该文章是介绍,MATLAB在对图像进行边缘检测方面的应用的.可以作为这方面研究的参考.(The article is the introduction, MATLAB in image edge detection application of. Research in this area can be used as reference.)
- 2008-03-03 14:49:31下载
- 积分:1
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BabulSalamMED2004TTT
sliding mode control 4
- 2012-07-08 21:37:35下载
- 积分:1
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Morphological
英语的形态分析方面的论文和源码,采用word形式保存(Morphological analysis of English)
- 2010-07-21 21:23:28下载
- 积分:1
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nccmp
比较两个netcdf文件
1。通过添加内部ind2sub1函数remove函数依赖第三方
2。格式化文本(Description NCCMP compares two netcdf files and prints the differences. This function is useful for testing mathematical forecasting or prediction models.
USAGE:
NCCMP(ncfile1,ncfile2)
NCCMP(ncfile1,ncfile2,tolerance,forceCompare)
INPUT:
ncfile1- name of the NetCDF file to compare
ncfile2- name of the NetCDF file to compare
tolerance- Compare numeric data using a tolerance threshold
forceCompare- if false, exit when first difference is found
true: continues to process all variables
EXAMPLES:
nccmp( old.nc , new.nc ,0.000001)
nccmp( old.nc , new.nc ,[],true)
FEATURES:
1. Print the differences and their locations
2. Exits when first difference is found or optionally continues to process all variables
3. User defined tolerance threshold to compare the variables
TO DO:
1. Specific variable inclusion or exclusion
2. Specific attribute inclusion or exclusion
3. Option to ignore the history attribute
4. Ignore difference between v)
- 2014-09-16 13:34:49下载
- 积分:1