- About one method of finding expected incomes in HM-queueing network with positive customers and signals
Object's details: About one method of finding expected incomes in HM-queueing network with positive customers and signals
PDF
Structure
Prace Naukowe Instytutu Matematyki i Informatyki=Scientific Research of the Institute of Mathematics and Computer Science.
Description
- Title:
- Group title:
- Creator:
- Subject and Keywords: ; ; ; ;
- Publisher:
- Place of publishing:
- Date:
- Resource Type:
- Format:
- Resource Identifier: oai:www.sbc.org.pl:307529
- Language:
- Coverage:
- Oryginal in:
Object is located in the collections:
Additional information
- Creation date: 2018-04-10
- Last modification date: 2020-02-12
- Content object's number of views: 46
- You could also download the object's description in these formats: ;
- Historical Text Recognition:
See also
About Simulation Modeling Of Hm-Queuning Network With Unreliable Systems
Creator:Matalytski Mikhail; Statkevich Sviataslau
Date:2012
Type:artykuł
Finding the expected revenues in Markov networks with positive and negative customers at a stationary regime
Creator:Matalytski Mikhail; Kopats Dmitry
Date:2018
Type:czasopismo
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
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
Analysis of Markov HM-queueing networks with FIFO discipline at the transient regime and its application
Creator:Matalytski Mikhail
Date:2015
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
The analysis of the three-level HM-network and its application for the incomesforecasting of a logistic transport system
Creator:Matalytski Mikhail; Kiturko Olga
Date:2014
Type:czasopismo
Application of a z-transforms method for investigation of Markov G-networks
Creator:Matalytski Mikhail; Naumenko Victor
Date:2014
Type:czasopismo