Computing the stationary distribution of a Markov chain (unique eigenvector of a matrix)

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What's the fastest (maybe just the fastest known) algorithm for computing the stationary distribution of a Markov chain (assuming it exists)? Equivalently, the fastest way to compute the unique eigenvector for a matrix?