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Thomas H. Cormen

Introduction to Algorithms, fourth edition 4th Edition

by Thomas H. Cormen (Author), Charles E. Leiserson (Author), Ronald L. Rivest (Author),

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A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.

New for the fourth edition

New chapters on matchings in bipartite graphs, online algorithms, and machine learning

New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays

140 new exercises and 22 new problems

Reader feedback–informed improvements to old problems

Clearer, more personal, and gender-neutral writing style

Color added to improve visual presentation

Notes, bibliography, and index updated to reflect developments in the field

Website with new supplementary material

Warning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors.

ISBN-10

026204630X
ISBN-13

978-0262046305
Edition

4th
Publisher

The MIT Press
Publication date

April 5, 2022
Language

English
Dimensions

8.25 x 2.01 x 9.31 inches
Print length

1312 pages
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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

Best Sellers Rank: #17,466 in Books (See Top 100 in Books)
- #1 in Programming Algorithms
- #1 in Computer Algorithms
- #5 in Computer Programming Languages

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264 ratings

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Thomas H. Cormen

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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

264 global ratings

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4 star		9%
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RAVINDRA RANWALA

The best book in the field of Algorithms

Reviewed in the United States 🇺🇸 on January 17, 2023

Verified Purchase

The bible for learning algorithms. Highly recommended for anyone who is serious in learning algorithms. Concepts are clearly explained with proofs. Exercises and chapter end problems were really interesting and challenging, guiding students to think algorithmically. This is the best book in the field. Authors also reachable and helpful as and when needed. Some of the mathematical contents used in the proofs are clearly explained in the Appendix section.

Just writing some code to solve the problem is not sufficient at all. We should be able to solve the problem optimally, thinking out of the box while challenging the orthodox thinking and proving the correctness and analyzing the running time of the solution mathematically. This book covers all of them in one go.

The only downside I see is in the binding which is not that good in the fourth edition compared to the previous third edition. Nevertheless, It's well worth the payoff ! Go ahead and read it without any hesitations !

Helpful

Neil Erdman

Please release as a two volume edition with better quality

Reviewed in the United States 🇺🇸 on December 29, 2022

Verified Purchase

This is a fantastic reference, and I've owned both the second and fourth edition, but the paper quality and binding is still terrible.

I would instantly buy this book again if they separated it into two volumes, and used better quality.

When using it as a reference I'm usually in either front half, or back half, anyway. It would be so much nicer to grab off the shelf and use as two separate volumes.

3 people found this helpful

Helpful

Aggie Jim

Best algorithm book

Reviewed in the United States 🇺🇸 on November 21, 2022

Verified Purchase

I would say that this book is the Bible in computer algorithms. A must-have for software engineers. Definitely worth reading.

4 people found this helpful

Helpful

Bob Sagat

Poorly built

Reviewed in the United States 🇺🇸 on August 31, 2022

Verified Purchase

The book breaks apart too easily- I wish they included an ebook w/ purchase.

8 people found this helpful

Helpful

Alex

Please fix the pseudocode indentation and figures in the Kindle eBook

Reviewed in the United States 🇺🇸 on November 7, 2022

Verified Purchase

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.

9 people found this helpful

Helpful

Andre Hochmuth

Great Academic Textbook

Reviewed in the United States 🇺🇸 on May 7, 2022

Verified Purchase

In a nutshell, this book is fantastic but it’s a bit academically oriented and I wouldn’t necessarily recommend it for most professionals as a “go to” algorithms book.

There’s “arguably” barely any changes since the previous edition so you almost might as well save yourself a buck on that end.

13 people found this helpful

Helpful

Manikandan

This book is so thick, so the binding should be even more strong at-least for hard copies.

Reviewed in the United States 🇺🇸 on June 25, 2022

Verified Purchase

This book is so thick, so the binding should be even more strong at-least for hard copies.

3 people found this helpful

Helpful

Watsh Rajneesh

An excellent text for learning computer algorithms

Reviewed in the United States 🇺🇸 on April 6, 2022

Verified Purchase

Received my copy of the new edition today. The volume of the book remains same as before at least its not significantly different in size but the printing is better, the illustrations are in color (which IMO was a necessary feature that has been missing in all previous editions). The algorithms in the book are still in psuedocode language agnostic and not in python which i somehow had an impression will be used in this edition but i am glad it is not.

25 people found this helpful

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Robert AJ Bogan

Simply Magnificent

Reviewed in the United Kingdom 🇬🇧 on April 24, 2022

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I'm a middle-aged self-studying aspiring SWE, and had read that 'CLRS' aka 'Introduction to Algorithms' is essential reading. Despite it being a long time since I've tried seriously studying from any textbook, I find this book very accessible as a learner. The information is laid out clearly and coherently with excellent visual aids. The content, while obviously challenging, is thoroughly absorbable and engaging. I'm using this as an aid to some online algorithms courses, and the depth and quality of writing here really helps to accentuate (and occasionally outshine) even the top-tier e-learning content.

The only difficulties experienced so far are in reading through and attempting to understand some of the more mathematical proofs - although that is laziness on my part, the appendices section looks like it will be very helpful in bringing a rusty mind back up to speed with mathematical lexicon.

The only minor criticism is merely a conflict with the authors' collection assertion to avoid providing solutions - seemingly on the basis that students might be find the compulsion to look up sample answers to the problems an irresistible temptation! Perhaps the lazy or poorly motivated would do so - and would certainly end up rewarded with the diminishing benefits and future struggle that that specific attitude would deserve.
However, those learners who are prepared to put in the mileage of a good 30 minute attempt at a tougher problem should be able to verify if their own work is correct - and get an idea of where they might be going wrong. Personally, not having the luxury or privilege to access a lecturer, instructor, or mentor (and with the sending of solutions not being encouraged), it is sometimes frustrating - although there are obviously large numbers GitHub accounts which are starting to farm out 'tentative solutions' for every problem in the book. It is difficult and frustrating to try and elucidate what solutions are worthwhile in looking at when struggling - and it would be more convenient to compare my own attempts with answers from a credible source.

Anyway, apart from that minor (extended) quibble, I would encourage anyone who is learning about algorithms to make purchasing and working through this book their number one priority!

8 people found this helpful

Eduardo

Great content, but many errors and bad printing/paper

Reviewed in Brazil 🇧🇷 on November 18, 2022

Verified Purchase

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.

8 people found this helpful

Vijay

Loved the book

Reviewed in India 🇮🇳 on September 13, 2022

Verified Purchase

Hey, Will, you help me. I ordered the book and it is amazing but it is missing 4 pages. Page 34, 35, 38, and 39.
I will be so grateful if you share these pages with me.😖

10 people found this helpful

HbangerzZ

Excellent content. But many errors in first printing.

Reviewed in India 🇮🇳 on January 15, 2023

Verified Purchase

What I liked :
Excellent and unmatched content.
High quality printing. Looks and feels good.

What I didn't like:
First printing has too many errors. See errata.
Voluminous - You need stamina to hold and read the book. Could be printed in 3 parts.

Request:
Kindle book should be provided free for those who buy physical book, just like manning publishers, as kindle version will always have the error corrected latest book which is alps easy to hold and search.

2 people found this helpful

Douglas Jorge

Excelente, mas não para iniciantes

Reviewed in Brazil 🇧🇷 on January 26, 2023

Verified Purchase

Se já tem uma noção de algoritmos e a matemática relacionada e quer se aprofundar, o livro é excelente.
Se estiver começando do zero, recomendo ler antes o livro: A Common-Sense Guide to Data Structures and Algorithms, do Jay Wengrow.

3 people found this helpful

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