Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks.
This proceeding is a result of the 7th International Conference in Network Analysis, held at the Higher School of Economics, Nizhny Novgorod in June 2017. The conference brought together scientists, engineers, and researchers from academia, industry, and government.| ISBN: | 9783319962467 |
| Publication date: | 25th August 2018 |
| Author: | Valery A Kalyagin, Panos M Pardalos, Oleg Prokopyev, Irina Utkina |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 354 pages |
| Series: | Springer Proceedings in Mathematics & Statistics |
| Genres: |
Operational research Mathematical modelling Stochastics Discrete mathematics Probability and statistics |