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mycg
我用Matlab编写的CG算法，很好用,输入A,b,x的精确解，求解x及误差曲线。(I used Matlab prepared CG algorithm, a very good use, type A, b, x the exact solutions, to solve x and error curve.)
- 2007-12-19 23:01:27下载
- 积分：1
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MATLAB---zhuchengfen
matlab中关于主成分分析的一个特经典的程序(matlab on principal component analysis, a special classic procedure)
- 2012-08-16 11:28:12下载
- 积分：1
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chapter3
MATLAB中的源程序代码，希望对大家用所帮助。资源共享啊。嘿嘿(MATLAB source code, we hope to help. Resource sharing ah. Hehe)
- 2013-04-18 11:38:58下载
- 积分：1
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blasius
Blasius Equation for Boundary layer theory problems. For calculating the boundary layer thickness and the velocity profile in a free stream in a pipe.
- 2013-11-17 05:15:29下载
- 积分：1
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matlab编程百例 26-30
《matlab编程百例》光盘代码26-30("Matlab programming hundred cases" CD-ROM code 26-30)
- 2007-07-10 14:25:25下载
- 积分：1
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matlabrobot.rar
matlab 源程序，对于编程的同学很用，大家看看吧(Matlab source for programming with the very students, we look at it)
- 2006-10-20 18:19:36下载
- 积分：1
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bert
心电数据的匹配，hilbert变换用于心电的检测和分析 (ECG data matching, hilbert transform ECG for the detection and analysis)
- 2007-03-05 15:53:18下载
- 积分：1
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matlab模糊聚类程序 动态聚类图程序
利用MATLAB做模糊聚类，并且画出系谱图(MATLAB fuzzy clustering dynamic graph)
- 2021-04-22 02:58:49下载
- 积分：1
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matlab
matlab在科学计算中的应用，计算，matlab，代码，程序，运行结果(matlab in scientific computing, computing, matlab, code, program, the results)
- 2013-12-09 10:13:16下载
- 积分：1
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GAforPathPlaning
采用栅格对机器人的工作空间进行划分，再利用优化算法对机器人路径优化，是采用智能算法求最优路径的一个经典问题。目前，采用蚁群算法在栅格地图上进行路径优化取得比较好的效果，而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。
利用遗传算法处理栅格地图的机器人路径规划的难点主要包括：1保证路径不间断，2保证路径不穿过障碍。
用遗传算法解决优化问题时的步骤是固定的，就是种群初始化，选择，交叉，变异，适应度计算这样，那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve.
The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles.
The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)
- 2019-05-02 14:56:19下载
- 积分：1
