| Beyond the Worst-Case Analysis of Algorithms (Cambridge University Press) |
| Monday, 01 March 2021 | |||
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Worst-case analysis, the cornerstone of most algorithm courses is where an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Tim Roughgarden along with forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which are suitable for beginners to the concepts of computer science and machine learning. <ASIN:1108494315>
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