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l1benchmark
sparse algorithm to solve l1 optimization
- 2010-11-11 09:33:36下载
- 积分：1
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daolibai
倒立摆建模simulink，采用基于遗传算法进行倒立摆寻优控制(simulink for inverse pendulum )
- 2010-11-17 10:51:20下载
- 积分：1
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10--Advanced-numerical-calculation
此为matlab详尽学习资料第十章“高级数值计算”(This is a detailed matlab learning materials Chapter 10, " Advanced numerical computing" )
- 2013-07-23 20:35:10下载
- 积分：1
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RefineAlignments
multipe sequence alignment in matlab
- 2011-10-26 00:46:07下载
- 积分：1
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MATLABfunction
MATLAB 常用函数，对于初学者应该很有帮助(MATLAB fuctions is very important for new learners )
- 2009-05-22 09:12:35下载
- 积分：1
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Constrained-optimization-problem
包含所有约束优化问题中涉及的matlab源程序。包含Rosen梯度法求解约束多维函数的极值，外点罚函数法解线性等式约束，外点罚函数法解一般等式约束，内点罚函数法，混合罚函数法，混合罚函数加速法，乘子法，坐标轮换法及复合形法(Contains all the constrained optimization problem involves matlab source. Contains Rosen gradient method for solving constrained multi-dimensional function extremum, external point penalty function method for solving linear equality constraints, external point penalty function method for solving general equality constraints, interior point penalty function method, mixed penalty function method, mixed penalty function acceleration method , multiplier method, the coordinate rotation method and complex method)
- 2013-07-25 10:49:46下载
- 积分：1
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ROI_detector
This is an implementation of the algorithm described in our paper [1]. The input is any map generated by saliency detection algorithms like Itti-Koch [2] or GBVS [3]. The algorithm outputs a binary mask without requiring a threshold for the saliency map. More details about it are described in our paper.
- 2013-09-21 18:59:56下载
- 积分：1
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NN
说明： 采用近邻聚类方法进行聚类，给出了仿真的粒子，运行通过。(The neighbor clustering methods clustering, and give out the simulative particle, run through
)
- 2012-11-19 16:15:03下载
- 积分：1
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GA
说明： matlab下的遗传算法，针对的是罚函数下的遗传算法优化(Matlab under the genetic algorithm, for the penalty function of the genetic algorithm optimization)
- 2017-01-17 12:36:03下载
- 积分：1
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makeSARdata_DBS
这是DBS数据生成程序，给需要的人。同时希望大家也多上传自己的程序，共同进步(DBS data generation)
- 2010-05-23 18:11:19下载
- 积分：1
