Models, Algorithms and Technologies for Network Analysis / Springer Proceedings in Mathematics & Statistics Bd.156 (PDF)
NET 2014, Nizhny Novgorod, Russia, May 2014
(Sprache: Englisch)
The contributions in this volume cover a broad range of topics including maximum cliques, graph coloring, data mining, brain networks, Steiner forest, logistic and supply chain networks. Network algorithms and their applications to market graphs,...
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Produktinformationen zu „Models, Algorithms and Technologies for Network Analysis / Springer Proceedings in Mathematics & Statistics Bd.156 (PDF)“
The contributions in this volume cover a broad range of topics including maximum cliques, graph coloring, data mining, brain networks, Steiner forest, logistic and supply chain networks. Network algorithms and their applications to market graphs, manufacturing problems, internet networks and social networks are highlighted. The "Fourth International Conference in Network Analysis," held at the Higher School of Economics, Nizhny Novgorod in May 2014, initiated joint research between scientists, engineers and researchers from academia, industry and government; the major results of conference participants have been reviewed and collected in this Work. 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.
Bibliographische Angaben
- 2016, 1st ed. 2016, 340 Seiten, Englisch
- Herausgegeben: Valery A. Kalyagin, Petr A. Koldanov, Panos M. Pardalos
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319296086
- ISBN-13: 9783319296081
- Erscheinungsdatum: 20.10.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 7.60 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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