自己编的一个用随机行走法实现电路计算的例子，电路图及参数均在Partial random walk for large linear network analysis里

The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Compute

2D version of Brownian motion. A random walk is similar to markov process, however a markov process has no memory, where a random walk uses an initial state. The next step in the walk does not necessarily depend on your current state but wil

A Painless Q-learning Tutorial (一个 Q-learning 算法的简明教程) ，学习此篇博客内容后写的一个简单例子(An easy program after learning the blog)

关于python的随机漫步和粒子群算法、三角形图形的代码实现，可以参考(Random walk code implementation, you can learn from reference, personally feel good.)