математика цепь Маркова, марковская цепь
марковская цепь, цепь Маркова
noun Etymology: A. A. Markov died 1922 Russian mathematician a usually discrete stochastic process (as a random walk) in which the probabilities of occurrence of various future states depend only on the present state of the system or on the immediately preceding state and not on the path by which the present state was achieved — called also Markoff chain
(Named after Andrei Markov) A model of sequences of events where the probability of an event occurring depends upon the fact that a preceding event occurred. A Markov process is governed by a Markov chain. In simulation, the principle of the Markov chain is applied to the selection of samples from a probability density function to be applied to the model. Simscript II.5 uses this approach for some modelling functions.