Buch, Englisch, 272 Seiten, Format (B × H): 155 mm x 236 mm, Gewicht: 567 g
Buch, Englisch, 272 Seiten, Format (B × H): 155 mm x 236 mm, Gewicht: 567 g
ISBN: 978-1-107-00173-2
Verlag: Cambridge University Press
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.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.




