Hardcover ISBN: | 978-0-8218-2892-2 |
Product Code: | DIMACS/59 |
List Price: | $108.00 |
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AMS Member Price: | $86.40 |
eBook ISBN: | 978-1-4704-4017-6 |
Product Code: | DIMACS/59.E |
List Price: | $101.00 |
MAA Member Price: | $90.90 |
AMS Member Price: | $80.80 |
Hardcover ISBN: | 978-0-8218-2892-2 |
eBook: ISBN: | 978-1-4704-4017-6 |
Product Code: | DIMACS/59.B |
List Price: | $209.00 $158.50 |
MAA Member Price: | $188.10 $142.65 |
AMS Member Price: | $167.20 $126.80 |
Hardcover ISBN: | 978-0-8218-2892-2 |
Product Code: | DIMACS/59 |
List Price: | $108.00 |
MAA Member Price: | $97.20 |
AMS Member Price: | $86.40 |
eBook ISBN: | 978-1-4704-4017-6 |
Product Code: | DIMACS/59.E |
List Price: | $101.00 |
MAA Member Price: | $90.90 |
AMS Member Price: | $80.80 |
Hardcover ISBN: | 978-0-8218-2892-2 |
eBook ISBN: | 978-1-4704-4017-6 |
Product Code: | DIMACS/59.B |
List Price: | $209.00 $158.50 |
MAA Member Price: | $188.10 $142.65 |
AMS Member Price: | $167.20 $126.80 |
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Book DetailsDIMACS - Series in Discrete Mathematics and Theoretical Computer ScienceVolume: 59; 2002; 256 ppMSC: Primary 68
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).
ReadershipGraduate students and researchers interested in algorithms and their experimental analysis; engineers working on algorithms for data processing.
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Table of Contents
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Chapters
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Partially persistent dynamic sets for history-sensitive heuristics
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A practical perfect hashing algorithm
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Computational evaluation of hot queues
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Nearest neighbor search for data compression
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Experimental evaluation of disk-based data structures for nearest neighbor searching
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Analysis of approximate nearest neighbor searching with clustered point sets
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Approximate nearest neighbor search using the extended general space-filling curves heuristic
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Locally lifting the curse of dimensionality for nearest neighbor search
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The role of experiment in the theory of algorithms
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Towards a discipline of experimental algorithmics
-
A theoretician’s guide to the experimental analysis of algorithms
-
A bibliography of algorithm experimentation
-
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RequestsReview Copy – for publishers of book reviewsAccessibility – to request an alternate format of an AMS title
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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.
-
Chapters
-
Partially persistent dynamic sets for history-sensitive heuristics
-
A practical perfect hashing algorithm
-
Computational evaluation of hot queues
-
Nearest neighbor search for data compression
-
Experimental evaluation of disk-based data structures for nearest neighbor searching
-
Analysis of approximate nearest neighbor searching with clustered point sets
-
Approximate nearest neighbor search using the extended general space-filling curves heuristic
-
Locally lifting the curse of dimensionality for nearest neighbor search
-
The role of experiment in the theory of algorithms
-
Towards a discipline of experimental algorithmics
-
A theoretician’s guide to the experimental analysis of algorithms
-
A bibliography of algorithm experimentation