ANALYSIS OF THE NETWORK WITH MULTIPLE CLASSES OF POSITIVE CUSTOMERS AND SIGNALS AT A NON-STATIONARY REGIME

DOI10.1017/S0269964818000219OpenAlexW2884592461MaRDI QIDQ5056620

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Publication date: 8 December 2022

Published in: Probability in the Engineering and Informational Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1017/s0269964818000219

zbMATH Keywords

classesmethod of successive approximationsnon-stationary regimeG-networkcombined with the method of seriespositive customers and signals of multiple

Mathematics Subject Classification ID

Systems theory; control (93-XX) Operations research, mathematical programming (90-XX)

Related Items (2)

FINDING NONSTATIONARY STATE PROBABILITIES OF OPEN MARKOV NETWORKS WITH MULTIPLE CLASSES OF CUSTOMERS AND VARIOUS FEATURES ⋮ Calculating expected incomes in open Markov networks with requests of different classes and different peculiarities

Cites Work

• Nonstationary analysis of a queueing network with positive and negative messages
• G-networks with multiple classes of negative and positive customers
• \(G\)-networks with multiple classes of signals and positive customers
• \(G\)-networks: A unifying model for neural and queueing networks
• Simulation modeling of HM-networks with consideration of positive and negative messages
• Application of a \(z\)-transforms method for investigation of Markov G-networks
• Investigation of G-network with signals at transient behavior
• FINDING EXPECTED REVENUES IN G-NETWORK WITH SIGNALS AND CUSTOMERS BATCH REMOVAL
• Product-form queueing networks with negative and positive customers
• G-networks by triggered customer movement

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