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A Guide to Experimental Algorithmics

A Guide to Experimental Algorithmics by Catherine C. McGeoch
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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.
Cambridge University Press; January 2012
274 pages; ISBN 9781139211086
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Title: A Guide to Experimental Algorithmics
Author: Catherine C. McGeoch
 
ISBNs
1139211080
9781107001732
9781139211086