A guide to experimental algorithmics
Author(s)
Bibliographic Information
A guide to experimental algorithmics
Cambridge University Press, 2012
- : hardback
- : pbk
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Computational experiments on algorithms can supplement theoretical analysis by showing what algorithms, implementations and speed-up methods work best for specific machines or problems. This book guides the reader through the nuts and bolts of the major experimental questions: What should I measure? What inputs should I test? How do I analyze the data? To answer these questions the book draws on ideas from algorithm design and analysis, computer systems, and statistics and data analysis. The wide-ranging discussion includes a tutorial on system clocks and CPU timers, a survey of strategies for tuning algorithms and data structures, a cookbook of methods for generating random combinatorial inputs, and a demonstration of variance reduction techniques. The book can be used by anyone who has taken a course or two in data structures and algorithms. A companion website, AlgLab (www.cs.amherst.edu/alglab) contains downloadable files, programs and tools for use in experimental projects.
Table of Contents
- 1. Introduction
- 2. A plan of attack
- 3. What to measure
- 4. Tuning algorithms, tuning code
- 5. The toolbox
- 6. Creating analysis-friendly data
- 7. Data analysis.
by "Nielsen BookData"