Models, Algorithms and Technologies for Network Analysis - Info and Reading Options
From the Third 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 Oct 30, 2014 - Cham s.l and it has 139 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: 139
- Publisher: Springer
- Publish Date: Oct 30, 2014
- Publish Location: Cham s.l
“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: OL27966287M - OL20682768W
- ISBN-13: 9783319097572 - 9783319097589
- ISBN-10: 3319097571
- All ISBNs: 3319097571 - 9783319097572 - 9783319097589
AI-generated Review of “Models, Algorithms and Technologies for Network Analysis”:
"Models, Algorithms and Technologies for Network Analysis" Description:
The Open Library:
This volume compiles the major results of conference participants from the "Third International Conference in Network Analysis" held at the Higher School of Economics, Nizhny Novgorod in May 2013, with the aim to initiate further joint research among different groups. The contributions in this book 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. 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 has brought together researchers, practitioners from numerous fields such as operations research, computer science, transportation, energy, biomedicine, computational neuroscience and social sciences. In addition, new approaches and computer environments such as parallel computing, grid computing, cloud computing, and quantum computing have helped to solve large scale network optimization problems.
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