7th International Conference in Network Analysis

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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Detalles Bibliográficos
Autores principales: Kalyagin, Valery, Pardalos, Panos, Prokopyev, Oleg, Utkina, Irina
Lenguaje:eng
Publicado: Springer 2018
Materias:
Mathematical Physics and Mathematics
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-96247-4
http://cds.cern.ch/record/2638925
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author Kalyagin, Valery
Pardalos, Panos
Prokopyev, Oleg
Utkina, Irina
author_facet Kalyagin, Valery
Pardalos, Panos
Prokopyev, Oleg
Utkina, Irina
author_sort Kalyagin, Valery
collection CERN
description 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.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2018
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spelling cern-26389252021-04-22T06:34:04Zdoi:10.1007/978-3-319-96247-4http://cds.cern.ch/record/2638925engKalyagin, ValeryPardalos, PanosProkopyev, OlegUtkina, Irina7th International Conference in Network AnalysisMathematical Physics and MathematicsContributions 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.Springeroai:cds.cern.ch:26389252018
spellingShingle Mathematical Physics and Mathematics
Kalyagin, Valery
Pardalos, Panos
Prokopyev, Oleg
Utkina, Irina
7th International Conference in Network Analysis
title 7th International Conference in Network Analysis
title_full 7th International Conference in Network Analysis
title_fullStr 7th International Conference in Network Analysis
title_full_unstemmed 7th International Conference in Network Analysis
title_short 7th International Conference in Network Analysis
title_sort 7th international conference in network analysis
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-96247-4
http://cds.cern.ch/record/2638925
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AT pardalospanos 7thinternationalconferenceinnetworkanalysis
AT prokopyevoleg 7thinternationalconferenceinnetworkanalysis
AT utkinairina 7thinternationalconferenceinnetworkanalysis

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