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Analysis of renewable reliability systems by Markovization methodMarkovization method is used for heterogeneous double redundant hot standby renewable reliability

Analysis of the multi-server Markov queuing system with unlimited buffer and negative customersConsideration was given to the multi-server queuing system with unlimited buffer, Markov input flow

Markov and non-Markov processes in complex systems by the dynamical information entropyWe consider the Markov and non-Markov processes in complex systems by the dynamical information

The Stationary Characteristics of the G/MSP/1/r Queueing System on the method of embedded Markov chain. The main stationary characteristics of system performance are derived.

Identification algorithms of simple homogeneous Markov chains of cyclic class and their complexity analysis regular and cyclic Markov chains (MC) are widely used in modelling systems for real stochastic processes

Intensity approximation of random fluctuation in complex systemsThe Markov and non-Markov processes in complex systems are examined with the help of dynamical

Identification algorithms of simple homogeneous Markov chains of cyclic class and their complexity analysis regular and cyclic Markov chains (MC) are widely used in modelling systems for real stochastic processes

Stationary characteristics of queuing system G/MSP/1/r are found for this system with the help of the method of the embedded Markov chain. The Markov process

Stationary distribution of a finite queue with recursive input flow and Markov service discipline. The service process of the phase type is Markov one and specified by the transition intensity matrices

Finding control policy for one discrete-time Markov chain on [0, 1] with a given invariant measureA discrete-time Markov chain on the interval [0, 1] with two possible transitions (left or right

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