- Finding the expected revenues in Markov networks with positive and negative customers at a stationary regime
Details zum Objekt: Finding the expected revenues in Markov networks with positive and negative customers at a stationary regime
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Prace Naukowe Instytutu Matematyki i Informatyki=Scientific Research of the Institute of Mathematics and Computer Science.
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Siehe auch
Analysis of the queueing network with a random bounded waiting time of positive and negative customers at a non-stationary regime
Ersteller:Matalytski Mikhail; Naumenko Victor
Datum:2017
Typ:artykuł
Finding the probabilistically-temporal characteristics of Markov G-network with batch removal of positive customers
Ersteller:Matalytski Mikhail; Naumenko Victor; Kopats Dmitry
Datum:2016
Typ:artykuł
Investigation of g-networks with restart at a non-stationary mode and their application
Ersteller:Matalytski Mikhail; Naumenko Victor; Kopats Dmitry
Datum:2019
Typ:artykuł
About one method of finding expected incomes in HM-queueing network with positive customers and signals
Ersteller:Matalytski Mikhail
Datum:2016
Typ:artykuł
Analysis of the queueing network with a random waiting time of negative customers at a non-stationary regime
Ersteller:Naumenko Victor; Matalytski Mikhail; Kopats Dmitry
Datum:2016
Typ:artykuł
Non stationary analysis of a quening network with positive and negative messages
Ersteller:Matalytski Mikhail; Naumenko Victor
Datum:2013
Typ:czasopismo
Investigation of G-network with random delay of signals at nonstationarybehaviour
Ersteller:Matalytski Mikhail; Naumenko Victor
Datum:2014
Typ:czasopismo
Investigation of G-network with signals at transient behavior
Ersteller:Matalytski Mikhail; Naumenko Victor
Datum:2014
Typ:czasopismo
