A Guide to Experimental Algorithmics
Cambridge University Press, 3/29/2012
EAN 9780521173018, ISBN10: 0521173019
Paperback, 272 pages, 23.4 x 15.6 x 1.6 cm
Language: English
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.
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.