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Beyond the Worst-Case Analysis of Algorithms
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Beyond the Worst-Case Analysis of Algorithms
Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new methods for assessing algorithm performance.
675 pages, Worked examples or Exercises
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 14. januar 2021 |
| ISBN13 | 9781108494311 |
| Utgivere | Cambridge University Press |
| Antall sider | 704 |
| Mål | 260 × 185 × 44 mm · 1,50 kg |
| Språk | Engelsk |
| Redaktør | Roughgarden, Tim (Columbia University, New York) |
