Models, Algorithms, and Technologies for Network Analysis: Net 2016, Nizhny Novgorod, Russia, May 2016 - Couverture rigide

9783319568287: Models, Algorithms, and Technologies for Network Analysis: Net 2016, Nizhny Novgorod, Russia, May 2016

Couverture rigide

ISBN 10 : 3319568280 ISBN 13 : 9783319568287

Editeur : Springer International Publishing AG, 2017

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This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented.

Chapters in this book cover the following topics:

Linear max min fairness
Heuristic approaches for high-quality solutions
Efficient approaches for complex multi-criteria optimization problems
Comparison of heuristic algorithms
New heuristic iterative local search
Power in network structures
Clustering nodes in random graphs
Power transmission grid structure
Network decomposition problems
Homogeneity hypothesis testing
Network analysis of international migration
Social networks with node attributes
Testing hypothesis on degree distribution in the market graphs
Machine learning applications to human brain network studies

This proceeding is a result of The 6th International Conference on Network Analysis held at the Higher School of Economics, Nizhny Novgorod in May 2016. The conference brought together scientists and engineers from industry, government, and academia to discuss the links between network analysis and a variety of fields.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer International Publishing AG
Date d'�dition2017
ISBN 10 3319568280
ISBN 13 9783319568287
ReliureReli�
Langueanglais
Num�ro d'�dition1
Nombre de pages277
�diteurKalyagin Valery A., Nikolaev Alexey I., Pardalos Panos M., Prokopyev Oleg A.
Coordonn�es du fabricantnon disponible

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9783319860121: Models, Algorithms, and Technologies for Network Analysis: NET 2016, Nizhny Novgorod, Russia, May 2016

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Models, Algorithms, and Technologies for Network Analysis. NET 2016, Nizhny Novgorod, Russia, May 2016.

Kalyagin, V.A. et al. (Eds.):

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ISBN 10 : 3319568280 ISBN 13 : 9783319568287

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Models, Algorithms, and Technologies for Network Analysis

Kalyagin, Valery A.|Nikolaev, Alexey I.|Pardalos, Panos M.|Prokopyev, Oleg A.

Edit� par Springer International Publishing, 2017

ISBN 10 : 3319568280 ISBN 13 : 9783319568287

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces current theories and applications in optimization methods and network modelsContains&nbspnew efficient algorithms and rigorous mathematical theories Features applications to social networks, pow. N� de r�f. du vendeur 146248802

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Models, Algorithms, and Technologies for Network Analysis : NET 2016, Nizhny Novgorod, Russia, May 2016

Valery A. Kalyagin

Edit� par Springer International Publishing, 2017

ISBN 10 : 3319568280 ISBN 13 : 9783319568287

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented.Chapters in this book cover the following topics:Linear max min fairnessHeuristic approaches for high-quality solutionsEfficient approaches for complex multi-criteria optimization problemsComparison of heuristic algorithmsNew heuristic iterative local searchPower in network structuresClustering nodes in random graphsPower transmission grid structureNetwork decomposition problemsHomogeneity hypothesis testingNetwork analysis of international migrationSocial networks with node attributesTesting hypothesis on degree distribution in the market graphsMachine learning applications to human brain network studiesThis proceeding is a result of The 6th International Conference on Network Analysis held at the Higher School of Economics, Nizhny Novgorod in May 2016. The conference brought together scientists and engineers from industry, government, and academia to discuss the links between network analysis and a variety of fields. N� de r�f. du vendeur 9783319568287

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Models, Algorithms, and Technologies for Network Analysis

Valery A. Kalyagin

Edit� par Springer International Publishing Jun 2017, 2017

ISBN 10 : 3319568280 ISBN 13 : 9783319568287

Neuf Couverture rigide

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented.Chapters in this book cover the following topics:Linear max min fairnessHeuristic approaches for high-quality solutionsEfficient approaches for complex multi-criteria optimization problemsComparison of heuristic algorithmsNew heuristic iterative local searchPower in network structuresClustering nodes in random graphsPower transmission grid structureNetwork decomposition problemsHomogeneity hypothesis testingNetwork analysis of international migrationSocial networks with node attributesTesting hypothesis on degree distribution in the market graphsMachine learning applications to human brain network studiesThis proceeding is a result of The 6th International Conference on Network Analysis held at the Higher School of Economics, Nizhny Novgorod in May 2016. The conference brought together scientists and engineers from industry, government, and academia to discuss the links between network analysis and a variety of fields. 292 pp. Englisch. N� de r�f. du vendeur 9783319568287

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Models, Algorithms, and Technologies for Network Analysis

Valery A. Kalyagin

Edit� par Springer International Publishing, Springer International Publishing Jun 2017, 2017

ISBN 10 : 3319568280 ISBN 13 : 9783319568287

Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Neuware -This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented.Chapters in this book cover the following topics:Linear max min fairnessHeuristic approaches for high-quality solutionsEfficient approaches for complex multi-criteria optimization problemsComparison of heuristic algorithmsNew heuristic iterative local searchPower in network structuresClustering nodes in random graphsPower transmission grid structureNetwork decomposition problemsHomogeneity hypothesis testingNetwork analysis of international migrationSocial networks with node attributesTesting hypothesis on degree distribution in the market graphsMachine learning applications to human brain network studiesThis proceeding is a result of The 6th International Conference on Network Analysis held at the Higher School of Economics, Nizhny Novgorod in May 2016. The conference brought together scientists and engineers from industry, government, and academia to discuss the links between network analysis and a variety of fields.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch. N� de r�f. du vendeur 9783319568287

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