It is marked out the class of iterative algorithms for solvin g of systems of equations which are obtained when discre- tizing SIE with discontinuous coefficients. These algorithms permit essential reducing of computational ...

This paper describes a class of dynamical stochastic systems that represents an extension of classical Markov decision processes. The Markov stochastic systems with given final sequence of states and unitary transition ...

In this article we study discrete random systems with finite set of states. A polynomial time algorithm for determining the limit matrix of probabilities in Markov processes is proposed and grounded.