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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, Paweł Zając, Application of HM-network with positive and negative claims for finding of memory volumes in information systems, Journal of Applied Mathematics and Computational Mechanics, 18(1), 2019, pages 41-51.
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[4] |
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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[5] |
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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[6] |
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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[7] |
Mikhail Matalytski, Victor Naumenko, Analysis of the queueing network with a random bounded waiting time of positive and negative customers at a non-stationary regime, Journal of Applied Mathematics and Computational Mechanics, 16(1), 2017, pages 97-108.
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[8] |
Mikhail Matalytski, Pawel Zajac, Application of HM-networks with inpatient claims in finding the memory capacity in information systems, Journal of Applied Mathematics and Computational Mechanics, 16(3), 2017, pages 47-59.
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[9] |
Mikhail Matalytski, About one method of finding expected incomes in HM-queueing network with positive customers and signals, Journal of Applied Mathematics and Computational Mechanics, 15(1), 2016, pages 87-98.
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[10] |
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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[11] |
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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[12] |
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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[13] |
Victor Naumenko, Mikhail Matalytski, Investigation of networks with positive and negative messages, many-lines queueing systems and incomes, Journal of Applied Mathematics and Computational Mechanics, 14(1), 2015, pages 79-90.
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[14] |
Victor Naumenko, Mikhail Matalytski, Simulation modeling of HM-networks with consideration of positive and negative messages, Journal of Applied Mathematics and Computational Mechanics, 14(2), 2015, pages 49-60.
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[15] |
Mikhail Matalytski, Analysis of Markov HM-Queueing Networks with FIFO discipline at the transient regime and its application, Journal of Applied Mathematics and Computational Mechanics, 14(3), 2015, pages 65-77.
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[16] |
Mikhail Matalytski, Victor Naumenko, Application of a z-transforms method for investigation of Markov G-networks, Journal of Applied Mathematics and Computational Mechanics, 13(1), 2014, pages 61-73.
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[17] |
Mikhail Matalytski, Victor Naumenko, Investigation of G-network with signals at transient behavior, Journal of Applied Mathematics and Computational Mechanics, 13(1), 2014, pages 75-86.
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[18] |
Mikhail Matalytski, Olga Kiturko, The analysis of the three-level HM-network and its application for the incomes forecasting of a logistic transport system, Journal of Applied Mathematics and Computational Mechanics, 13(3), 2014, pages 141-153.
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[19] |
Mikhail Matalytski, Victor Naumenko, Investigation of G-network with random delay of signals at nonstationary behaviour, Journal of Applied Mathematics and Computational Mechanics, 13(3), 2014, pages 155-166.
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[20] |
Mikhail Matalytski, Olga Kiturko, Finding of the expected income of the closed queueing structure and its application in transport logistics, Journal of Applied Mathematics and Computational Mechanics, 12(1), 2013, pages 85-92.
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[21] |
Mikhail Matalytski, Victor Naumenko, Nonstationary analysis of the queueing network with bypass of systems of multi-type and absolute priority messages, Journal of Applied Mathematics and Computational Mechanics, 12(1), 2013, pages 93-105.
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[22] |
Mikhail Matalytski, Olga Kiturko, The asymptotic analysis of the income in closed HM-structure with priority messages, Journal of Applied Mathematics and Computational Mechanics, 12(2), 2013, pages 51-59.
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[23] |
Mikhail Matalytski, Victor Naumenko, Nonstationary analysis of a queueing network with positive and negative messages, Journal of Applied Mathematics and Computational Mechanics, 12(2), 2013, pages 61-71.
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[24] |
Mikhail Matalytski, Tatiana Rusilko, Andrey Pankov, Asymptotic analysis of the closed queueing structure with time-dependent service parameters and single-type messages, Journal of Applied Mathematics and Computational Mechanics, 12(2), 2013, pages 73-80.
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[25] |
Olga Kiturko, Mikhail Matalytski, Investigation of HM-network with priority messages and depending on time incomes from transitions between its states, Journal of Applied Mathematics and Computational Mechanics, 12(4), 2013, pages 67-76.
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[26] |
Natalia Bekish, Olga Kiturko, Mikhail Matalytski, On analytical investigation and simulation of HM-networks with priority requests, Scientific Research of the Institute of Mathematics and Computer Science, 11(1), 2012, pages 5-14.
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[27] |
Katsiaryna Kosarava, Mikhail Matalytski, Kiril Rozau, Finding of incomes of HM-network with limited waiting times in queues by means of the successive approximations method, Scientific Research of the Institute of Mathematics and Computer Science, 11(1), 2012, pages 41-52.
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[28] |
Mikhail Matalytski, Tatiana Rusilko, The network probability model of one-type customer requests processing in an insurance company, Scientific Research of the Institute of Mathematics and Computer Science, 11(1), 2012, pages 73-83.
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[29] |
Mikhail Matalytski, Sviataslau Statkevich, Investigation of queueing network with unreliable systems and large number of messages, Scientific Research of the Institute of Mathematics and Computer Science, 11(1), 2012, pages 85-97.
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[30] |
Mikhail Matalytski, Victor Naumenko, Analysis of the queuing network with messages bypass of systems in transient behavior, Scientific Research of the Institute of Mathematics and Computer Science, 11(2), 2012, pages 71-83.
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[31] |
Mikhail Matalytski, Sviataslau Statkevich, About simulation modeling of HM-queueing network with unreliable systems, Scientific Research of the Institute of Mathematics and Computer Science, 11(2), 2012, pages 85-92.
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[32] |
Mikhail Matalytski, Victor Naumenko, Finding incomes of the HM-network with one-type messages bypass of systems, Scientific Research of the Institute of Mathematics and Computer Science, 11(3), 2012, pages 111-123.
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[33] |
Mikhail Matalytski, Victor Naumenko, Analysis of networks with time-dependent transition probabilities and messages bypass between the queuing systems, Scientific Research of the Institute of Mathematics and Computer Science, 11(4), 2012, pages 93-104.
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[34] |
Mikhail Matalytski, Tatiana Rusilko, Andrey Pankov, Asymptotic analysis of the closed network with time-dependent service parameters and single-type messages, Scientific Research of the Institute of Mathematics and Computer Science, 11(4), 2012, pages 105-112.
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[35] |
Mikhail Matalytski, Olga Kiturko, Solution of optimal control problem for the three-level HM-network - I, Scientific Research of the Institute of Mathematics and Computer Science, 10(1), 2011, pages 163-174.
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[36] |
Mikhail Matalytski, Sviataslau Statkevich, Time-dependent state probabilities of queueing network with unreliable systems in transient regime, Scientific Research of the Institute of Mathematics and Computer Science, 10(1), 2011, pages 175-187.
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[37] |
Mikhail Matalytski, Olga Kiturko, Solution of optimal control problem for the three-level HM-Network - II, Scientific Research of the Institute of Mathematics and Computer Science, 10(2), 2011, pages 155-167.
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[38] |
Mikhail Matalytski, Olga Kiturko, Natalia Czhornaja, Method of finding incomes in HM-Networks with time-dependent intensity of requests service, Scientific Research of the Institute of Mathematics and Computer Science, 10(2), 2011, pages 169-178.
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[39] |
Mikhail Matalytski, Olga Kiturko, Natalia Czhornaja, Finding expected incomes in HM-Network with priority requests and linear time-dependent intensity of their service, Scientific Research of the Institute of Mathematics and Computer Science, 10(2), 2011, pages 179-190.
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