Computational Aspects and Applications in Large-Scale Networks
NET 2017, Nizhny Novgorod, Russia, June 2017
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Beschreibung
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.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.Presents state-of-the-art techniques in modern network analysis for large-scale networks Features new theoretical models, approaches, and tools for network analysis Broadens understanding of computationally efficient algorithms
Autor*in
Valery A. Kalyagin
Themen in »Computational Aspects and Applications in Large-Scale Networks«
Computational Aspects and Applications of Large Scale Networks Critical Links Autoregressive Models Equilibrium Under Network Constraints Cliques Quasi-cliques Clustering Coefficient Random Graphs Guarantee Networks Neural Network Complexity of Graphs Vehicle Routing Problems triangle-Konig Graphs Integer Linear Programming Problems Bilevel Pricing Problem