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Iterative and semi-iterative methods for computing stationary prob- ability vectors of Markov-type operators are proposed and their convergence properties are analyzed. The methods studied apply to certain classes of prob- lems in infinite-dimensional spaces as well as to classical n x n stochastic ma- trices.

Iterative and semi-iterative methods for computing stationary probability vectors of Markov operators