25.1.2 Random Walks and Their Properties
نویسنده
چکیده
The previous lecture showed that, for self-reducible problems, the problem of estimating the size of the set of feasible solutions is equivalent to the problem of sampling nearly uniformly from that set. This lecture explores the applications of that result by developing techniques for sampling from a uniform distribution. Specifically, this lecture introduces the concept of Markov Chain Monte Carlo (MCMC) sampling approaches.
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