- Finding the expected revenues in Markov networks with positive and negative customers at a stationary regime
Object's details: 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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- Resource Identifier: oai:reader.digitarium.pcss.pl:455110
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See also
Analysis of the queueing network with a random bounded waiting time of positive and negative customers at a non-stationary regime
Creator:Matalytski Mikhail; Naumenko Victor
Date:2017
Type:artykuł
Finding the probabilistically-temporal characteristics of Markov G-network with batch removal of positive customers
Creator:Matalytski Mikhail; Naumenko Victor; Kopats Dmitry
Date:2016
Type:artykuł
Investigation of g-networks with restart at a non-stationary mode and their application
Creator:Matalytski Mikhail; Naumenko Victor; Kopats Dmitry
Date:2019
Type:artykuł
About one method of finding expected incomes in HM-queueing network with positive customers and signals
Creator:Matalytski Mikhail
Date:2016
Type:artykuł
Analysis of the queueing network with a random waiting time of negative customers at a non-stationary regime
Creator:Naumenko Victor; Matalytski Mikhail; Kopats Dmitry
Date:2016
Type:artykuł
Non stationary analysis of a quening network with positive and negative messages
Creator:Matalytski Mikhail; Naumenko Victor
Date:2013
Type:czasopismo
Investigation of G-network with random delay of signals at nonstationarybehaviour
Creator:Matalytski Mikhail; Naumenko Victor
Date:2014
Type:czasopismo
Investigation of G-network with signals at transient behavior
Creator:Matalytski Mikhail; Naumenko Victor
Date:2014
Type:czasopismo