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电脑鼠走迷宫算法 包含迷宫搜索和冲刺函数
电脑鼠走迷宫算法 包含迷宫搜索和冲刺函数-Computer Mouse Maze algorithm is a function that contains a maze search and sprint
- 2022-01-29 01:00:14下载
- 积分:1
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磁性DLA模拟分形生长,用于Ising模型
磁性DLA模拟分形生长,用于Ising模型-Magnetic DLA fractal growth simulation for the Ising model
- 2022-08-23 00:06:21下载
- 积分:1
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VB控制网平差
VB控制网测量平差程序。原创,解决各种边角控制网的平差计算,含有水准,摄影测量模块,是测绘工程测量平差课程设计的重要参考。适合测绘工程专业平差模型设计参考。
- 2022-01-25 20:17:18下载
- 积分:1
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蚁群算法的c++实现方法
蚁群算法的c++实现方法,通过c++实现蚁群算法的基本功能,提供了详细的注释和编码。
- 2022-07-10 02:05:31下载
- 积分:1
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定步长龙格之间的区域一体化
全区间积分的定步长龙格-库塔法-regional integration between the fixed step Changlong Runge- Kutta method
- 2023-04-12 11:45:03下载
- 积分:1
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MOEA framework
应用背景The MOEA Framework is a free and open source Java library for developing and
experimenting with multiobjective evolutionary algorithms (MOEAs) and other
general-purpose multiobjective optimization algorithms. The MOEA Framework
supports genetic algorithms, differential evolution, particle swarm
optimization, genetic programming, grammatical evolution, and more. A number of
algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA,
GDE3 and MOEA/D. In addition, the MOEA Framework provides the tools necessary
to rapidly design, develop, execute and statistically test optimization
algorithms.关键技术Its key features includes:
* Fast, reliable implementations of many state-of-the-art algorithms
* Extensible with custom algorithms, problems and operators
* Supports master-slave, island-model, and hybrid parallelization
&n
- 2022-02-28 22:09:39下载
- 积分:1
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机器视觉商标匹配
halcon+c#配合使用,很好的例子,代码可以直接运行,很适合机器视觉行业人士使用,学习
- 2022-03-14 08:06:57下载
- 积分:1
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利用Kinect+OpenCV2.44检测人体跌倒
资源描述对Kinect获取的深度图像提取人体轮廓,以此为基础提取人体轮廓的三个形状特征,通过设定阈值判断人体是否跌倒。
- 2022-02-27 04:40:55下载
- 积分:1
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3D-FDTD程序计算平行双阵子,可以调整阵子间距和阵子半径。以达到设计一定仰角的目的。-3D-FDTD calculated parallel ago, spacing can be adjusted stream and stream radius. Designed to achieve a certain elevation purposes.
- 2022-05-09 10:33:21下载
- 积分:1
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Discrete-Continuous Optimization for Multi-Target Tracking
A matlab program for multi-target tracking,The problem of multi-target tracking is comprised of two distinct, but tightly coupled challenges: (i) the naturally discrete
problem of data association, i.e. assigning image observations to the appropriate target; (ii) the naturally continuous
problem of trajectory estimation, i.e. recovering the trajectories of all targets. To go beyond simple greedy solutions for data association, recent approaches often
- 2023-01-02 11:40:18下载
- 积分:1