Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5664)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: WADS 2009.
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About this book
This book constitutes the refereed proceedings of the 11th Algorithms and Data Structures Symposium, WADS 2009, held in Banff, Canada, in August 2009.
The Algorithms and Data Structures Symposium - WADS (formerly "Workshop on Algorithms and Data Structures") is intended as a forum for researchers in the area of design and analysis of algorithms and data structures. The 49 revised full papers presented in this volume were carefully reviewed and selected from 126 submissions. The papers present original research on algorithms and data structures in all areas, including bioinformatics, combinatorics, computational geometry, databases, graphics, and parallel and distributed computing.
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Keywords
- algorithmics
- algorithms
- approximation
- art gallery problem
- combinatorial optimization
- complexity
- computational geometry
- computational graph theory
- data streams
- data structures
- dynamic data structures
- dynamic programming
- graph algorithms
- heuristics
- metric embe
- algorithm analysis and problem complexity
Table of contents (49 papers)
Editors and Affiliations
Bibliographic Information
Book Title: Algorithms and Data Structures
Book Subtitle: 11th International Symposium, WADS 2009, Banff, Canada, August 21-23, 2009. Proceedings
Editors: Frank Dehne, Marina Gavrilova, Jörg-Rüdiger Sack, Csaba D. Tóth
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-03367-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Softcover ISBN: 978-3-642-03366-7Published: 04 August 2009
eBook ISBN: 978-3-642-03367-4Published: 24 July 2009
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 580
Topics: Programming Techniques, Algorithm Analysis and Problem Complexity, Data Structures, Discrete Mathematics in Computer Science, Computer Graphics, Numeric Computing