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We study the problem of generating a sample from the stationary distribution nof a Markov chain, given a method to simulate the chain. We give an napproximation algorithm for the case of a random walk on a regular graph with n nvertices that runs in expected time O^*( sqrt{n} x L^2-mixing time). This is nclose to the best possible, since sqrt{n} is a lower bound on the worst-case nexpected..
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向豆丁求助:有没有markov?