资源列表
凸壳算法
- 凸壳算法，散点成三维体的方法，该方法从洋鬼子那得来的。-convex hull algorithm, scattered dots on the three-dimensional method from the foreign devils that comes from.
计算机控制实验——关于pid部分
- 利用matlab仿真系统的响应，通过对系统的反馈参数的设计比较其输出的不同，并且分析其稳定性。-using Matlab simulation system in response to the system through feedback from the design parameters to compare the different outputs and analysis of its stability.
yasuojieya
- 本代码为LZW算法的C语言实现程序，他在此基础上加入了霍夫曼算法的优点-the LZW algorithm code for the C language procedure, he joined the basis of the merits of the algorithm Hoffman
llg
- 本代码为数据压缩的C语言实现，它只是个学习程序，希望能够给参考者帮助！-the code for data compression C language, it is just learning the procedure, hoping to be able to help the reference!
zlib-1.2.2.tar
- 此代码为霍夫曼编码和LZ7编码的联合实现，它能较高地提高无损压缩及解码的速度-this code for the LZ7 Huffman coding and encoding of the Joint Implementation, to raise it higher lossless compression and decoding speed
OSet
- 迷宫程序,C++实现 一个用VC写的关于迷宫的程序-maze procedure, C to achieve a VC was on the maze procedure
高数演示math
- 本程序提供三矢量混合积的计算，采用matlab实现-procedures for the three mixed vector plot calculated using Matlab to achieve
图象增强
- 该程序首先利用小波变换，然后过滤噪音，最终实现图象边缘效果增强的功能-the procedure using wavelet transform, and then filter the noise, and eventually realizing Edge effects enhanced functionality
Anneal
- 求解tsp问题的模拟退火源码，数据文件请仿照文件中的input.txt自行创建-the simulated annealing source, data files copied documents requested the creation of their own input.txt
clusters
- 协同微粒群算法，用于原子簇的结构优化。协同微粒群算法模型由南非人Frans van den Bergh提出，对高维问题处理的效果要显著优于基本微粒群算法。-synergies PSO algorithm, for the cluster of structural optimization. Synergy PSO algorithm model from South Africa who Frans van den Bergh, for the high-dimensional problem
spso
- 保证全局收敛的随机微粒群算法。当最优粒子的解无进化，则对其位置、速度进行变异，而使算法不致过早收敛，只要迭代次数足够，算法保证全局收敛。-ensure global convergence of random particle swarm algorithm. When the optimal solution without particles of evolution, its location, speed variation, which might not premature conv
pso toolbox
- 基于MATLAB的微粒群工具箱，算法模型中引入收缩因子，收敛速度有所提高，但对高维函数的优化效果仍然不理想。-based on MATLAB Toolbox PSO algorithm model introduced shrinkage factor, convergence rate increase, but for high-dimensional optimization function effects are still not ideal.