Overview
- Presents state-of-the-art techniques from researchers and practitioners from different fields
- Covers topics from theoretical, algorithmic, and practical viewpoints, providing readers with theories and techniques from different perspectives
- Provides ideas and methodologies to detect network optimization problems, facilitating the retrieval of optimal solutions for difficult problems?
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 32)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (12 papers)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Models, Algorithms, and Technologies for Network Analysis
Book Subtitle: Proceedings of the First International Conference on Network Analysis
Editors: Boris Goldengorin, Valery A. Kalyagin, Panos M. Pardalos
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-1-4614-5574-5
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-5573-8Published: 11 December 2012
Softcover ISBN: 978-1-4939-0174-6Published: 28 January 2015
eBook ISBN: 978-1-4614-5574-5Published: 12 December 2012
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XIV, 234
Topics: Optimization, Combinatorics, Operations Research, Management Science