Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Przeglądasz jako GOŚĆ
Tytuł pozycji:

FINDING THE EXPECTED REVENUES IN MARKOV NETWORKS WITH POSITIVE AND NEGATIVE CUSTOMERS AT A STATIONARY REGIME.

Tytuł :
FINDING THE EXPECTED REVENUES IN MARKOV NETWORKS WITH POSITIVE AND NEGATIVE CUSTOMERS AT A STATIONARY REGIME.
Autorzy :
Matalytski, Mikhail
Kopats, Dmitry
Pokaż więcej
Temat :
MARKOV processes
QUEUING theory
PROBABILITY theory
COMPUTER networks
STOCHASTIC processes
Źródło :
Journal of Applied Mathematics & Computational Mechanics; 2018, Vol. 17 Issue 1, p49-60, 12p
Czasopismo naukowe
Finding the expected revenues in the queueing systems (QS) of open Markov G-networks of two types, with positive and negative customers and with positive customers and signals, has been described in the paper. A negative customer arriving to the system destroys one positive customer if at least one is available in the system, thus reducing the number of positive customers in the system by one. The signal, coming into an empty system (where there are no positive customers), does not have any impact on the network and immediately disappears from it. Otherwise, if the system is not empty, when it receives a signal, the following events can occur: the incoming signal instantly moves the positive customer from one QS into another with a certain probability, or with the other probability, the signal is triggered as a negative customer. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Applied Mathematics & Computational Mechanics is the property of Czestochowa University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies