The Algorithm Design Manual (Google eBook)

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Springer Science & Business Media, Apr 5, 2009 - Computers - 746 pages
31 Reviews
This expanded and updated second edition of a classic bestseller continues to take the 'mystery' out of designing and analyzing algorithms and their efficacy and efficiency. Expanding on the highly successful formula of the first edition, the book now serves as the primary textbook of choice for any algorithm design course while maintaining its status as the premier practical reference guide to algorithms.NEW: (1) Incorporates twice the tutorial material and exercises. (2) Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video. (3) Contains a highly unique catalog of the 75 most important algorithmic problems. (4) Includes new 'war stories' and 'interview problems', relating experiences from real-world applications.Written by a well-known, IEEE Computer Science teaching-award winner, this new edition is an essential learning tool for students needing a solid grounding in algorithms, as well as a uniquely comprehensive text/reference for professionals.

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Review: The Algorithm Design Manual

User Review  - tino - Goodreads

This book is showing its age -- although the algorithms are solid, I find it unlikely that the author would make it through a modern technical interview. Software engineering has evidently come a long way in 15 years. Read full review

Review: The Algorithm Design Manual

User Review  - Badarudheen Kunnathodi - Goodreads

Highly recommended for anyone interested in practical algorithm implementation. Read full review


Part II The Hitchhikers Guide to Algorithms

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About the author (2009)

Steven Skiena is Distinguished Teaching Professor of Computer Science at Stony Brook University. His research interests include the design of graph, string, and geometric algorithms, and their applications (particularly to biology). He is the author of five books, including The Algorithm Design Manual and Calculated Bets: Computers, Gambling, and Mathematical Modeling to Win. He is co-founder and Chief Scientist at General Sentiment (, a media measurement company based on his Lydia text/sentiment analysis system. Skiena received his PhD in Computer Science from the University of Illinois in 1988, and is the author of over 130 technical papers. He is a former Fulbright scholar, and a recipient of the ONR Young Investigator Award and the IEEE Computer Science and Engineer Teaching Award.

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