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random_walk_3D

于 2013-02-13 发布 文件大小:1KB
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   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 will be referenced from your current state, that is to say the random vector is added to your current state. depending on complexity

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