Models, Algorithms and Technologies for Network Analysis - Info and Reading Options
NET 2014, Nizhny Novgorod, Russia, May 2014
By Mikhail V. Batsyn, Valery A. Kalyagin and Panos M. Pardalos
"Models, Algorithms and Technologies for Network Analysis" was published by Springer London, Limited in 2016 - Cham, it has 340 pages and the language of the book is English.
“Models, Algorithms and Technologies for Network Analysis” Metadata:
- Title: ➤ Models, Algorithms and Technologies for Network Analysis
- Authors: Mikhail V. BatsynValery A. KalyaginPanos M. Pardalos
- Language: English
- Number of Pages: 340
- Publisher: Springer London, Limited
- Publish Date: 2016
- Publish Location: Cham
“Models, Algorithms and Technologies for Network Analysis” Subjects and Themes:
- Subjects: ➤ System analysis - Mathematical optimization - Combinatorial analysis - Business logistics - System theory - Network analysis (planning) - Mathematics - Global analysis (Mathematics) - Computer science - Computer software - Optimization - Complex Networks - Analysis - Computational Mathematics and Numerical Analysis - Mathematical Software - Mathematical Modeling and Industrial Mathematics - Management Science Operations Research - Algorithms - Combinatorics - Management science - Operations research - Operations Research, Management Science
Edition Identifiers:
- The Open Library ID: OL34529947M - OL20682768W
- ISBN-13: 9783319296081
- All ISBNs: 9783319296081
AI-generated Review of “Models, Algorithms and Technologies for Network Analysis”:
"Models, Algorithms and Technologies for Network Analysis" Description:
Open Data:
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
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