Computational Aspects and Applications in Large-Scale Networks NET 2017, Nizhny Novgorod, Russia, June 2017 /

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...

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Bibliographic Details
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing, 2018.
Edition:1st ed. 2018.
Series:Springer Proceedings in Mathematics & Statistics, 247
Subjects:
Operations research.
Management science.
Neural networks (Computer science) .
Combinatorics.
Probabilities.
ISBN:9783319962474
ISSN:2194-1009 ;
Online Access: Get full text
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Summary: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.
Item Description:Mathematics and Statistics
Physical Description:XVII, 354 p. 68 illus., 41 illus. in color. online resource.
ISBN:9783319962474
ISSN:2194-1009 ;

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