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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
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2021年1月14日 |
| ISBN13 | 9781108494311 |
| 出版商 | Cambridge University Press |
| 页数 | 704 |
| 商品尺寸 | 260 × 185 × 44 mm · 1,50 kg |
| 语言 | 英语 |
| 编辑 | Roughgarden, Tim (Columbia University, New York) |