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Introduction to Algorithms Paperback – 20 Aug 2009

4.6 out of 5 stars 40 customer reviews

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Product details

  • Paperback: 1312 pages
  • Publisher: MIT Press; 3rd edition (20 Aug. 2009)
  • Language: English
  • ISBN-10: 0262533057
  • ISBN-13: 978-0262533058
  • Product Dimensions: 20.3 x 4.4 x 22.9 cm
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (40 customer reviews)
  • Amazon Bestsellers Rank: 23,519 in Books (See Top 100 in Books)
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Product description

Review

"

"In light of the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. This beautifully written, thoughtfully organized book is the definitive introductory book on the design and analysis of algorithms. The first half offers an effective method to teach and study algorithms; the second half then engages more advanced readers and curious students with compelling material on both the possibilities and the challenges in this fascinating field."--Shang-Hua Teng, University of Southern California

""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 University

"As an educator and researcher in the field of algorithms for over two decades, I can unequivocally say that the Cormen 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 Virginia

About the Author

Thomas H. Cormen is Professor of Computer Science at Dartmouth College. Charles E. 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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