Understand algorithms and their design with this revised student-friendly textbook. Unlike other algorithms books, this one is approachable, the methods it explains are straightforward, and the insights it provides are numerous and valuable. Without grinding through lots of formal proof, students will benefit from step-by-step methods for developing algorithms, expert guidance on common pitfalls, and an appreciation of the bigger picture. Revised and updated, this second edition includes a new chapter on machine learning algorithms, and concise key concept summaries…
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Omnibus Edition
Hardback publication date:
Online publication date: 12 September 2023
Hardback publication date:
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Online publication date: 12 January 2021
Online publication date: 02 October 2020