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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
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2021年1月14日 |
| ISBN13 | 9781108494311 |
| 出版社 | Cambridge University Press |
| ページ数 | 704 |
| 寸法 | 260 × 185 × 44 mm · 1,50 kg |
| 言語 | 英語 |
| 編集者 | Roughgarden, Tim (Columbia University, New York) |