Catherine C. McGeoch

Guide to Experimental Algorithmics (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 30. Januar 2012
• Englisch
• ISBN-13: 9781139211086
• Artikelnr.: 38447328

Autorenporträt

Dr Catherine C. McGeoch is the Beitzel Professor of Technology and Society in the Department of Computer Science at Amherst College. Professor McGeoch was co-founder (with David S. Johnson) in 1990 of the Discrete Mathematics and Theoretical Computer Science (DIMACS) Implementation Challenges. In 1999 she co-founded (with Michael Goodrich) the annual Workshop on Algorithm Engineering and Experimentation (ALENEX), sponsored by SIAM. She was Editor-in-Chief of the ACM Journal of Experimental Algorithmics from 2003 to 2008 and currently serves on the ACM Publications Board.

Inhaltsangabe

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.