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[1] |
Mikhail Matalytski, Pawel Zajac, Dmitry Kopats, Application of HM-networks with positive and negative heterogeneous requests for finding memory volume in information systems, Journal of Applied Mathematics and Computational Mechanics, 19(1), 2020, pages 67-77.
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[2] |
Victor Naumenko, Dmitry Kopats, Mikhail Matalytski, Andrey Pankov, Investigation of G-network with bypasses of queueing systems by positive customers at a non-stationary regime, Journal of Applied Mathematics and Computational Mechanics, 19(3), 2020, pages 85-97.
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[3] |
Mikhail Matalytski, Victor Naumenko, Dmitry Kopats, Investigation of G-networks with restart at a non-stationary mode and their application, Journal of Applied Mathematics and Computational Mechanics, 18(2), 2019, pages 41-51.
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[4] |
Mikhail Matalytski, Dmitry Kopats, Finding the expected revenues in Markov networks with positive and negative customers at a stationary regime, Journal of Applied Mathematics and Computational Mechanics, 17(1), 2018, pages 49-60.
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[5] |
Mikhail Matalytski, Pawel Zajac, Dmitry Kopats, Application of HM-networks with unreliable systems for finding the memory capacity in the information systems, Journal of Applied Mathematics and Computational Mechanics, 17(2), 2018, pages 51-63.
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[6] |
Mikhail Matalytski, Dmitry Kopats, Diffusion approximation of the network with limited number of same type customers and time dependent service parameters, Journal of Applied Mathematics and Computational Mechanics, 15(2), 2016, pages 77-84.
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[7] |
Victor Naumenko, Mikhail Matalytski, Dmitry Kopats, Analysis of the queueing network with a random waiting time of negative customers at a non-stationary regime, Journal of Applied Mathematics and Computational Mechanics, 15(3), 2016, pages 111-122.
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[8] |
Mikhail Matalytski, Victor Naumenko, Dmitry Kopats, Finding the probabilistically-temporal characteristics of Markov G-network with batch removal of positive customers, Journal of Applied Mathematics and Computational Mechanics, 15(4), 2016, pages 125-136.
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