9783319860121 - Models, Algorithms, and Technologies for Network Analysis: NET 2016, Nizhny Novgorod, Russia, May 2016: 197 (Springer Proceedings in Mathematics & Statistics) (9 resultados)

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Condición: New. pp. 277.

Taschenbuch. Condición: 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.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: 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.

Condición: 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.

Condición: New. Print on Demand pp. 277.

Condición: New. PRINT ON DEMAND pp. 277.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 292 pp. Englisch.