38582

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Markov and Non-Markov Probabilistic Models of Interacting Flows of Annihilating Particles

ISBN/ISSN: 

978-3-319-44614-1/1865-0929

DOI: 

10.1007/978-3-319-44615-8_25

Наименование источника: 

  • Information Technologies and Mathematical Modelling - Queueing Theory and Applications Volume 638 of the series Communications in Computer and Information Science

Обозначение и номер тома: 

Vol. 638

Город: 

  • Katun

Издательство: 

  • Springer Link

Год издания: 

2016

Страницы: 

281-291 http://link.springer.com/chapter/10.1007%2F978-3-319-44615-8_25
Аннотация
We propose Markov and non-Markov probabilistic models of how flows of annihilating particles interact, find the probability distribution of the number of positive applications in the model, and we present asymptotic results for the case of high intensity incoming flows. Then we study a system with non-exponential service where, using asymptotic analysis, we show that as the intensity of incoming flows grows, the probability distribution becomes Gaussian and find the parameters of the distribution. We also investigate flows of interacting particles as an infinitely linear queuing system with positive and negative applications of different systems and the probability distribution of the number of positive stationary applications in a system with exponential service is found. We also studied a case of arbitrary service by means of asymptotic analysis. We demonstrate that these systems are asymptotically equivalent.

Библиографическая ссылка: 

Nazarov A.A., Фархадов М.П., Gelenbe E.. Markov and Non-Markov Probabilistic Models of Interacting Flows of Annihilating Particles // Information Technologies and Mathematical Modelling - Queueing Theory and Applications Volume 638 of the series Communications in Computer and Information Science. 2016. Vol. 638. С. 281-291 http://link.springer.com/chapter/10.1007%2F978-3-319-44615-8_25.