Вопросы радиоэлектроники. 2016; : 106-114
МАТЕМАТИЧЕСКОЕ И ПРОГРАММНОЕ ОБЕСПЕЧЕНИЕ ИНФОРМАЦИОННЫХ СИСТЕМ МОДЕЛИРОВАНИЯ И УПРАВЛЕНИЯ ВЫСОКОНАГРУЖЕННЫМИ ТРАНСПОРТНЫМИ СЕТЯМИ НА ОСНОВЕ РАЗРАБОТКИ ПЕРКОЛЯЦИОННЫХ МАКРОСКОПИЧЕСКИХ МОДЕЛЕЙ БАЛАНСИРОВКИ ПОТОКОВ
Аннотация
Список литературы
1. Швецов, В. И. Математическое моделирование транспортных потоков // Автоматика и телемеханика. – 2003. – № 11. – С. 3–46.
2. Гасников, А. В., Кленов, С. Л., Нурминский, Е. А., Холодов, Я. А., Шамрай, Н. Б. Введение в математическое моделирование транспортных потоков. – М.: МЦНМО, 2013.
3. Grimmet, G. Percolation and disordered systems, in Lectures in Probability Theory and Statistics, Ecole d`Ete de Probabilites de Saint-Flour XXVI-1996. – Springer Lecture Notes in Math. № 1665 – Bernard. – 1997. – PP. 153–300.
4. Grimmet, G. Percolation. – Berlin: Springer-Verlag, – 1989 (2nd ed., 1999).
5. Stauffe, r D., Aharony, A. Introduction to Percolation Theory. – London: Tailor & Francis, 1992.
6. Zhukov, D., Les’ko, S. The Percolation Theory Based Analysis of Data Transmission Reliability via Data Communication Networks with Random Structure and Kinetics of Nodes Blocking by Viruses / ICNS2015: The Eleventh International Conference on Networking and Services, May 24–29, 2015, Rome, Italy (ISBN 978-1-61208-404-6). – PP. 24–30.
Issues of radio electronics. 2016; : 106-114
MATHEMATICAL AND SOFTWARE SUPPORT OF INFORMATION MODELING AND MANAGEMENT SYSTEMS OF HEAVILY TRANSPORT NETWORKS BASED ON THE DEVELOPMENT OF PERCOLATION MACROSCOPIC FLOW BALANCING MODELS
Abstract
References
1. Shvetsov, V. I. Matematicheskoe modelirovanie transportnykh potokov // Avtomatika i telemekhanika. – 2003. – № 11. – S. 3–46.
2. Gasnikov, A. V., Klenov, S. L., Nurminskii, E. A., Kholodov, Ya. A., Shamrai, N. B. Vvedenie v matematicheskoe modelirovanie transportnykh potokov. – M.: MTsNMO, 2013.
3. Grimmet, G. Percolation and disordered systems, in Lectures in Probability Theory and Statistics, Ecole d`Ete de Probabilites de Saint-Flour XXVI-1996. – Springer Lecture Notes in Math. № 1665 – Bernard. – 1997. – PP. 153–300.
4. Grimmet, G. Percolation. – Berlin: Springer-Verlag, – 1989 (2nd ed., 1999).
5. Stauffe, r D., Aharony, A. Introduction to Percolation Theory. – London: Tailor & Francis, 1992.
6. Zhukov, D., Les’ko, S. The Percolation Theory Based Analysis of Data Transmission Reliability via Data Communication Networks with Random Structure and Kinetics of Nodes Blocking by Viruses / ICNS2015: The Eleventh International Conference on Networking and Services, May 24–29, 2015, Rome, Italy (ISBN 978-1-61208-404-6). – PP. 24–30.
