资源列表
f90_for_beginners
- very helpful book for those who are beginning their understanding in Fortran programming. you should give a good reading and try test cases as well.-very helpful book for those who are beginning their understanding in Fortran programming. you shoul
G_P
- 混沌时间序列分析中的Ｇ－Ｐ方法，用来计算相空间重构用到的关联维和嵌入维数-Chaotic time series analysis of the G-P method, used to calculate the phase-space reconstruction using the correlation dimension and embedding dimension
WGCCM_three_link_walker_example
- 基于matlab的双足机器人零动力学控制及其仿真，包括动力学及控制模块-Matlab biped robot based on the zero-dynamics control and simulation, including the dynamics and control module
C_CMethod
- 混沌时间序列分析中的c-c方法，用于求相空间重构时的求时间窗和延时时间-Chaotic time series analysis of the cc method for phase-space reconstruction for the order when the time window and delay time
SA_TSP_su
- 模拟退火解决TSP问题 内附测试文件 效果不是特别好。-Simulated Annealing to solve TSP problem file containing the test results are not particularly good.
Oil_distrb
- 广度优先解决小孩分油问题 在Ondraw里改变分油桶的容量及目标油量-Breadth-first solution to the issue of children at the oil change in the sub-Ondraw tank capacity and the target fuel
fmntest2
- it is in matlab.and discribe another formant function
Rigid_body_dynamic_simulation
- 基于欧拉方程的刚体在无重力空间中动力学MATLAB仿真程序-Based on the Euler equations of rigid body dynamics in the weightlessness of space in the MATLAB simulation program
ACO_0_1_bag
- 蚁群算法解0-1背包问题 内附测试文件 解的质量一般叫好，但是背包数增加时，耗时较长-Ant Colony Algorithm for 0-1 Knapsack Problem solution document containing test the quality of the general good, but the increase in the number of backpack, the longer time-consuming
GA_TSP
- 用遗传算法解TSP问题 编码方式：次序编码 选择算子：轮盘赌 杂交：单点 变异：均匀变异-Genetic Algorithm for TSP with the issue of encoding: coding sequence selection operator: roulette hybridization: a single point mutation: uniform mutation
dynamic_walking_limit_cycle_MATLAB
- 机器人仿真例程，主要关于动态行走机器人极限环稳定性分析 -Robot simulation routines walking robot is mainly concerned with the dynamic stability analysis of limit cycles
Continuous_GA
- In this code, Continuous Genatic Algorithm is implimented, which gives the solution of Differential eq. if u want to fine the solutuion of any differential eq, whose sol is not available, just use this matlab code. this will give u the optimum soluti