Models, Algorithms, and Technologies for Network Analysis - Info and Reading Options
Proceedings of the First International Conference on Network Analysis
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 2012 - New York, NY, it has 234 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: 234
- Publisher: Springer London, Limited
- Publish Date: 2012
- Publish Location: New York, NY
“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
Edition Specifications:
- Pagination: xiv, 234
Edition Identifiers:
- The Open Library ID: OL37189549M - OL20682768W
- ISBN-13: 9781461455745 - 9781283934220
- All ISBNs: 9781461455745 - 9781283934220
AI-generated Review of “Models, Algorithms, and Technologies for Network Analysis”:
"Models, Algorithms, and Technologies for Network Analysis" Description:
Open Data:
This volume contains a selection of contributions from the "First International Conference in Network Analysis," held at the University of Florida, Gainesville, on December 14-16, 2011. The remarkable diversity of fields that take advantage of Network Analysis makes the endeavor of gathering up-to-date material in a single compilation a useful, yet very difficult, task. The purpose of this volume is to overcome this difficulty by collecting the major results found by the participants and combining them in one easily accessible compilation. Network analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network is bringing together researchers, practitioners and other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. The contributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, and applications
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