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Introduction to Algorithms 3ed Hardcover – 15 Sep 2009

4.1 out of 5 stars 4 ratings
ISBN-13: 978-0262033848 ISBN-10: 9780262033848 Edition: 3rd

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Review

'As an educator and researcher in the field of algorithms for over two decades, I can unequivocally say that the Cormen et al book is the best textbook that I have ever seen on this subject. It offers an incisive, encyclopedic, and modern treatment of algorithms, and our department will continue to use it for teaching at both the graduate and undergraduate levels, as well as a reliable research reference.'--Gabriel Robins, Department of Computer Science, University of VirginiaThe MIT Press'Introduction to Algorithms, the 'bible' of the field, is a comprehensive textbook covering the full spectrum of modern algorithms: from the fastest algorithms and data structures to polynomial-time algorithms for seemingly intractable problems, from classical algorithms in graph theory to special algorithms for string matching, computational geometry, and number theory. The revised third edition notably adds a chapter on van Emde Boas trees, one of the most useful data structures, and on multithreaded algorithms, a topic of increasing importance.'--Daniel Spielman, Department of Computer Science, Yale UniversityDaniel Spielman' Introduction to Algorithms, the 'bible' of the field, is a comprehensive textbook covering the full spectrum of modern algorithms: from the fastest algorithms and data structures to polynomial-time algorithms for seemingly intractable problems, from classical algorithms in graph theory to special algorithms for string matching, computational geometry, and number theory. The revised third edition notably adds a chapter on van Emde Boas trees, one of the most useful data structures, and on multithreaded algorithms, a topic of increasing importance.' Daniel Spielman , Department of Computer Science, Yale UniversityThe MIT Press

About the Author

Thomas Cormen is Professor of Computer Science at Dartmouth College. Charles Leiserson is Professor of Computer Science and Engineering at MIT. Ronald L. Rivest is Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT. Clifford Stein is Professor of Industrial Engineering and Operations Research at Columbia University.


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26 September 2019
Format: HardcoverVerified Purchase
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Most helpful customer reviews on Amazon.com

Amazon.com: 4.2 out of 5 stars 388 reviews
Matthew
3.0 out of 5 starsGood, But Still Very Complex!
21 March 2016 - Published on Amazon.com
Format: HardcoverVerified Purchase
100 people found this helpful
Ben Bitdiddle
4.0 out of 5 starsText is pretty good but has pedagogical weaknesses
7 October 2016 - Published on Amazon.com
Format: HardcoverVerified Purchase
39 people found this helpful
thomas scanlan
4.0 out of 5 starsHelpful text, but not sufficient as sole resource
1 February 2019 - Published on Amazon.com
Format: HardcoverVerified Purchase
12 people found this helpful
T
4.0 out of 5 starsTop-Notch Content, Poor Binding
4 June 2016 - Published on Amazon.com
Format: HardcoverVerified Purchase
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22 people found this helpful
Monday Monkey
5.0 out of 5 starsThorough, Rigorous, Maybe not Best for Most Beginners
1 November 2015 - Published on Amazon.com
Format: HardcoverVerified Purchase
20 people found this helpful