Beyond the Worst-Case Analysis of Algorithms (Cambridge University Press)
Monday, 01 March 2021

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>

 

Author: Tim Roughgarden (Editor)
Publisher: Cambridge University Press
Date: February 2021
Pages: 704
ISBN: 978-1108494311
Print: 1108494315
Kindle: B08GGCFMTB
Audience: Developers interested in computer science
Level: Intermediate/Advanced
Category: Theory & Techniques 

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Pages: 192
ISBN: 978-1840788396
Print: 1840788399
Kindle: B07NVQXYCG
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