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Data Structures, Near Neighbor Searches, and Methodology: Fifth and Sixth DIMACS Implementation Challenges
Edited by: Michael H. Goldwasser, Loyola University of Chicago, IL, David S. Johnson, AT&T Bell Laboratories, Florham Park, NJ, and Catherine C. McGeoch, Amherst College, MA
A co-publication of the AMS and DIMACS.

DIMACS: Series in Discrete Mathematics and Theoretical Computer Science
2002; 256 pp; hardcover
Volume: 59
ISBN-10: 0-8218-2892-4
ISBN-13: 978-0-8218-2892-2
List Price: US$96
Member Price: US$76.80
Order Code: DIMACS/59
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See also:

Data Mining and Mathematical Programming - Panos M Pardalos and Pierre Hansen

This book presents reviewed and revised papers from the fifth and sixth DIMACS Implementation Challenge workshops. These workshops, held approximately annually, aim at encouraging high-quality work in experimental analysis of data structures and algorithms. The papers published in this volume are the results of year-long coordinated research projects and contain new findings and insights. Three papers address the performance evaluation of implementations for two fundamental data structures, dictionaries and priority queues, as used in the context of real applications. Another four papers consider the still evolving topic of methodologies for experimental algorithmics. Five papers are concerned with implementations of algorithms for nearest neighbor search in high dimensional spaces, an area with applications in information retrieval and data mining on collections of Web documents, DNA sequences, images and various other data types.

Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1-7 were co-published with the Association for Computer Machinery (ACM).


Graduate students and researchers interested in algorithms and their experimental analysis; engineers working on algorithms for data processing.

Table of Contents

  • R. Battiti -- Partially persistent dynamic sets for history-sensitive heuristics
  • C. Silverstein -- A practical perfect hashing algorithm
  • A. V. Goldberg and C. Silverstein -- Computational evaluation of hot queues
  • K. Zatloukal, M. H. Johnson, and R. E. Ladner -- Nearest neighbor search for data compression
  • N. Katayama and S. Satoh -- Experimental evaluation of disk-based data structures for nearest neighbor searching
  • S. Maneewongvatana and D. M. Mount -- Analysis of approximate nearest neighbor searching with clustered point sets
  • J.-C. Perez-Cortes and E. Vidal -- Approximate nearest neighbor search using the extended general space-filling curves heuristic
  • P. N. Yianilos -- Locally lifting the curse of dimensionality for nearest neighbor search
  • R. J. Anderson -- The role of experiment in the theory of algorithms
  • B. M. E. Moret -- Towards a discipline of experimental algorithmics
  • D. S. Johnson -- A theoretician's guide to the experimental analysis of algorithms
  • C. C. McGeoch -- A bibliography of algorithm experimentation
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