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Beyond the Worst-Case Analysis of Algorithms
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
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 14 de enero de 2021 |
| ISBN13 | 9781108494311 |
| Editores | Cambridge University Press |
| Páginas | 704 |
| Dimensiones | 260 × 185 × 44 mm · 1,50 kg |
| Lengua | Inglés |
| Editor | Roughgarden, Tim (Columbia University, New York) |