Handbook of Graph Theory, Combinatorial Optimization, and Algorithms
Language: English
Published by Taylor & Francis Inc Dez 2015, 2015
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Neuware - Since the 1970s, many engineering disciplines have relied extensively on graph theory as a primary tool for analysis and design. The Handbook of Graph Algorithms, Volume 1: Theory and Optimization provides comprehensive coverage of basic concepts and recent developments in the field. Focusing on design, proof of correctness, and complexity analysis, this volume presents a detailed discussion of algorithms that are useful in a variety of applications and provides an authoritative review of the current state of the art. Using figures to help illustrate the concepts, the book examines topics such as incremental algorithms and online algorithms that have yet to receive much attention but have great potential for future applications.
Seller Inventory # 9781584885955
- Title
- Handbook of Graph Theory, Combinatorial Optimization, and Algorithms
- Author
- Krishnaiyan "KT" (University of Oklahoma Thulasiraman
- Publisher
- Taylor & Francis Inc Dez 2015
- Publication year
- 2015
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1584885955
- ISBN 13
- 9781584885955
- Item weight
- 3,198 grams
- Dimensions
- 288x251x64 mm
The fusion between graph theory and combinatorial optimization has led to theoretically profound and practically useful algorithms, yet there is no book that currently covers both areas together. Handbook of Graph Theory, Combinatorial Optimization, and Algorithms is the first to present a unified, comprehensive treatment of both graph theory and combinatorial optimization.
Divided into 11 cohesive sections, the handbook’s 44 chapters focus on graph theory, combinatorial optimization, and algorithmic issues. The book provides readers with the algorithmic and theoretical foundations to:
- Understand phenomena as shaped by their graph structures
- Develop needed algorithmic and optimization tools for the study of graph structures
- Design and plan graph structures that lead to certain desirable behavior
With contributions from more than 40 worldwide experts, this handbook equips readers with the necessary techniques and tools to solve problems in a variety of applications. Readers gain exposure to the theoretical and algorithmic foundations of a wide range of topics in graph theory and combinatorial optimization, enabling them to identify (and hence solve) problems encountered in diverse disciplines, such as electrical, communication, computer, social, transportation, biological, and other networks.
"Synopsis" may belong to another edition of this title.
About the Author
Editor-in-Chief
Krishnaiyan "KT" Thulasiraman is a professor and Hitachi Chair in Computer Science at the University of Oklahoma and a professor emeritus in electrical and computer engineering at Concordia University in Montreal. He is a fellow of the IEEE, AAAS, and the European Academy of Sciences. Dr. Thulasiraman has received several honors, including the Distinguished Alumnus Award of the Indian Institute of Technology Madras, IEEE Circuits and Systems Society Charles Desoer Technical Achievement Award, and IEEE Circuits and Systems Society Golden Jubilee Medal. He is the coauthor of two graduate-level textbooks on graphs, electrical networks, and algorithms. His research interests include graph theory, combinatorial optimization, and related algorithmic issues with a specific focus on applications in electrical and computer engineering and network science.
Editors
Subramanian Arumugam is a senior professor and director of the National Centre for Advanced Research in Discrete Mathematics at Kalasalingam University. He is also a visiting professor at Liverpool Hope University and an adjunct professor at Ball State University. Dr. Arumugam is the founding editor-in-chief of AKCE International Journal of Graphs and Combinatorics and author of 32 books and 195 journal papers. His current research interests include graph theory and its applications.
Andreas Brandstädt retired as a professor in computer science from the University of Rostock after 20 years. Dr. Brandstädt has published extensively in various international journals and conference proceedings. He is also the author of a textbook and coauthor of a widely cited monograph. His research interests include stochastics, complexity theory, formal languages, graph algorithms, graph theory, combinatorial optimization, and related algorithmic issues with a specific focus on efficient algorithms based on graph structure and graph classes with tree structure.
Takao Nishizeki is a professor emeritus at Tohoku University. He is a fellow of the ACM, IEEE, IEICE of Japan, Information Processing Society of Japan, and Bangladesh Academy of Sciences. Dr. Nishizeki has received several honors, including the Science and Technology Prize of the Japanese Ministry of Education, IEICE Achievement Award, ICF Best Research Award, Funai Information Science Promotion Award, TELECOM Technology Award, and many awards for best paper. His research interests include algorithms for planar graphs, edge coloring, network flows, VLSI routing, graph drawing, and cryptology.
"About the title" may belong to another edition of this title.
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