up_profile_2sphere

说明：  matlab多旅行商问题以及各种算法如蚂蚁算法和遗传算法(matlab multi-traveling salesman problem and various algorithms such as the ant algorithm and genetic algorithm)

简单易学，上手快，动手实践效果更有效，通俗易懂。(simple ，easy to use )

该源码来自教程＜先进的pid控制及matlab仿真（第一版）＞，对初学者非常有帮助.(The source code from the tutorial <advanced pid control and matlab simulation (first edition)>, very helpful for beginners.)

matlab 入门基本操作 包括一些基本的源代码 和实力

Gabor filter has implemented here to find the texture boundary by varying frequency and orientation angle.

MySlidingMenu的用法，滑动可以打开遍侧栏(MySlidingMenu usage, you can open the sliding sidebar times)

RT（快速扩展随机树）是一种基于采样的算法求解路径规划问题。RRT提供可行的解如果时间RRT趋于无穷大。 RRT *是一个基于采样的算法为解决运动规划问题，这是一个概率最优变异性。RRT *收敛到最优解的渐近。 RRT * FN是一个基于采样的算法基于RRT *。RRT * FN内在渐近收敛到最优解，然而RRT * FN实现使用更少的内存(RRT (Rapidly-Exploring Random Tree) is a sampling-based algorithm for solving path planning problem. RRT provides feasable solution if time of RRT tends to infinity. RRT* is a sampling-based algorithm for solving motion planning problem, which is an probabilistically optimal variant of RRT. RRT* converges to the optimal solution asymptotically. RRT*FN is a sampling-based algorithm based on RRT*. RRT*FN inherents asymptotical convergence to the optimal solution, however RRT*FN implements it using less memory.)

没有什么好的程序，就是一个简简单单的8数码(No good program, that is simply one of the eight digital)

基于optical flow的机器人导航和避障算法，并在一虚拟机器人进行了仿真。(This is a project where a virtual robot avoids obstacles in a virtual environment without knowing the environment- the robot navigates autonomously, only by analysing it’s virtual camera view. The algorithm for obstacle avoidance is optical flow based.)

三次样条插值函数边界条件由实际问题对三次样条插值在端点的状态要求给出。以第1边界条件为例，用节点处二阶导数表示三次样条插值函数，用追赶法求解相关方程组。(Cubic spline interpolation function from the real problems of boundary conditions cubic spline interpolation is required to give the state of the endpoint. In the first boundary condition, for example, with a node represents the second derivative of the cubic spline interpolation function, solving equations associated with the catch method.)