Models, Algorithms, and Technologies for Network Analysis - Info and Reading Options
Proceedings of the Second International Conference on Network Analysis
By Mikhail V. Batsyn, Valery A. Kalyagin and Panos M. Pardalos
"Models, Algorithms, and Technologies for Network Analysis" is published by Springer in Sep 21, 2013 and it has 217 pages.
“Models, Algorithms, and Technologies for Network Analysis” Metadata:
- Title: ➤ Models, Algorithms, and Technologies for Network Analysis
- Authors: Mikhail V. BatsynValery A. KalyaginPanos M. Pardalos
- Number of Pages: 217
- Publisher: Springer
- Publish Date: Sep 21, 2013
“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:
- Format: hardcover
Edition Identifiers:
- The Open Library ID: OL27984551M - OL20682768W
- ISBN-13: 9781461485872
- ISBN-10: 1461485878
- All ISBNs: 1461485878 - 9781461485872
AI-generated Review of “Models, Algorithms, and Technologies for Network Analysis”:
"Models, Algorithms, and Technologies for Network Analysis" Description:
The Open Library:
This volume contains two types of papers—a selection of contributions from the “Second International Conference in Network Analysis” held in Nizhny Novgorod on May 7–9, 2012, and papers submitted to an "open call for papers" reflecting the activities of LATNA at the Higher School for Economics. This volume contains many new results in modeling and powerful algorithmic solutions applied to problems in • vehicle routing • single machine scheduling • modern financial markets • cell formation in group technology • brain activities of left- and right-handers • speeding up algorithms for the maximum clique problem • analysis and applications of different measures in clustering The broad range of applications that can be described and analyzed by means of a network brings together researchers, practitioners, and other scientific communities from numerous fields such as Operations Research, Computer Science, Bioinformatics, Medicine, 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. Researchers, students, and engineers from various disciplines will benefit from the state-of-the-art in models, algorithms, technologies, and techniques including new research directions and open questions.
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