Computational Aspects and Applications in Large-Scale Networks - NET 2017, Nizhny Novgorod, Russia, June 2017 (Paperback, Softcover reprint of the original 1st ed. 2018)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Proceedings in Mathematics & Statistics, 247
Release date:	2019
First published:	2018
Editors:	Valery A. Kalyagin • Panos M. Pardalos • Oleg Prokopyev • Irina Utkina
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Paperback
Pages:	354
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-3-03-007163-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Promotions
LSN:	3-03-007163-4
Barcode:	9783030071639

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