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Introduction to Algorithms, fourth edition 4th Edition

4.4 out of 5 stars 264 ratings

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Editorial Reviews

About the Author

Thomas H. Cormen is Emeritus Professor of Computer Science at Dartmouth College. Charles E. Leiserson is Edwin Sibley Webster Professor in Electrical Engineering and Computer Science at MIT. Ronald L. Rivest is Institute Professor at MIT. Clifford Stein is Wai T. Chang Professor of Industrial Engineering and Operations Research, and of Computer Science at Columbia University.
 

Product details

  • Publisher ‏ : ‎ The MIT Press; 4th edition (April 5, 2022)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 1312 pages
  • ISBN-10 ‏ : ‎ 026204630X
  • ISBN-13 ‏ : ‎ 978-0262046305
  • Item Weight ‏ : ‎ 4.8 pounds
  • Dimensions ‏ : ‎ 8.25 x 2.01 x 9.31 inches
  • Customer Reviews:
    4.4 out of 5 stars 264 ratings

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Thomas H. Cormen is Emeritus Professor and former Chair of the Dartmouth College Department of Computer Science and former director of the Dartmouth College Institute for Writing and Rhetoric. He received the B.S.E. degree in Electrical Engineering and Computer Science from Princeton University in 1978 and the S.M. and Ph.D. degrees in Electrical Engineering and Computer Science from MIT in 1986 and 1993, respectively. He is coauthor of the leading textbook on computer algorithms, Introduction to Algorithms, which he wrote with Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. The book, now in its fourth edition, has been translated into several languages. He is also the author of Algorithms Unlocked, a gentle introduction to understanding computer algorithms and how they relate to real-world problems.

Outside computer science, Cormen likes skating (inline and nordic), paddling, and cooking and eating barbecue. He considers himself the world's worst electrician who has a Ph.D. in electrical engineering.

Customer reviews

4.4 out of 5 stars
4.4 out of 5
264 global ratings

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Reviewed in the United States 🇺🇸 on August 31, 2022
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Reviewed in the United States 🇺🇸 on November 7, 2022
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3.0 out of 5 stars Please fix the pseudocode indentation and figures in the Kindle eBook
Reviewed in the United States 🇺🇸 on November 7, 2022
The content is great, but I think the quality of the eBook version is low. There are indentation errors that can make understanding the pseudocode slightly difficult. Sometimes, indentation is an important part to key lines of an algorithm. Also, the figures are low quality and blurry in the eBook version.
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Reviewed in the United States 🇺🇸 on May 7, 2022
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Reviewed in the United States 🇺🇸 on April 6, 2022
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Top reviews from other countries

Robert AJ Bogan
5.0 out of 5 stars Simply Magnificent
Reviewed in the United Kingdom 🇬🇧 on April 24, 2022
8 people found this helpful
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Eduardo
3.0 out of 5 stars Great content, but many errors and bad printing/paper
Reviewed in Brazil 🇧🇷 on November 18, 2022
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Eduardo
3.0 out of 5 stars Great content, but many errors and bad printing/paper
Reviewed in Brazil 🇧🇷 on November 18, 2022
There are too many errors, mostly fixed in subsequent printings, but if you get the first printing, like I got, too bad for you. Also the printing and/or paper quality is so bad, words blur if you touch them with your finger (see picture), so handle with care. This book costs way too much to have such problems.
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8 people found this helpful
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Vijay
5.0 out of 5 stars Loved the book
Reviewed in India 🇮🇳 on September 13, 2022
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HbangerzZ
4.0 out of 5 stars Excellent content. But many errors in first printing.
Reviewed in India 🇮🇳 on January 15, 2023
2 people found this helpful
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Douglas Jorge
5.0 out of 5 stars Excelente, mas não para iniciantes
Reviewed in Brazil 🇧🇷 on January 26, 2023
3 people found this helpful
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