A guide to experimental algorithmics
"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 measur...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York
Cambridge University Press
2012.
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| Subjects: | |
| Online Access: | Cover image View in OPAC |
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Table of Contents:
- Machine generated contents note: 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.