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Introduction to Algorithms, fourth edition by [Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein]

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Thomas H. Cormen

Introduction to Algorithms, fourth edition Kindle Edition

by Thomas H. Cormen (Author), Charles E. Leiserson (Author), Ronald L. Rivest (Author), Format: Kindle Edition

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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.

Print length

1312 pages
Language

English
Sticky notes

On Kindle Scribe
Publisher

The MIT Press
Publication date

April 5 2022
File size

15066 KB
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Product description

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.
--This text refers to an alternate kindle_edition edition.

Product details

ASIN ‏ : ‎ B094WZNKP2
Publisher ‏ : ‎ The MIT Press (April 5 2022)
Language ‏ : ‎ English
File size ‏ : ‎ 15066 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Sticky notes ‏ : ‎ On Kindle Scribe
Print length ‏ : ‎ 1312 pages
Page numbers source ISBN ‏ : ‎ 026204630X

Best Sellers Rank: #308,047 in Kindle Store (See Top 100 in Kindle Store)
- #537 in Computer Algorithms
- #1,701 in Computers & Internet (Kindle Store)
- #2,659 in Computer Science (Books)

Customer Reviews:
312 ratings

About the author

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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.

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Customer reviews

4.6 out of 5

312 global ratings

5 star		80%
4 star		10%
3 star		3%
2 star		1%
1 star		6%

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Top reviews from Canada

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Vladyslav Nekriach

Better than 3rd edition, but get it only if this book stays with you for a long time

Reviewed in Canada 🇨🇦 on January 8, 2023

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TLDR: Get 3rd edition if you are buying it to pass a course: most Data Stuctures and Algorithms curricula are built on 3rd edition and it is cheaper to get as there lots of second-hand copies that are almost as good as new. Get 4th edition if you are buying this as a reference book which will be in your library for years.

They are mostly quite similar, but there were a reasonable number changes with regards to fixing errors and the style of writing. If you do not have time to check the errata for 3rd edition, most of the errors have been fixed in 4th edition. Moreover, all the material for 3rd edition that is now gone (as it was not as useful as it could be to an average reader) is available at the website, which means you can always look it up. Some new topics have been added, such as Machine Learning, but I think that you would buy a specialized book for ML in case you wanted to study the topic in depth. Still, it is (somewhat) useful if you are doing a quick brush-up before the interview - you have basic algorithms for ML (look up the index of the textbook before buying so that you know what is included) and your typical DSA interview topics in the same place.

Giving it 4 stars as I'd prefer the 3rd edition due to the price difference - I paid CAD 160 for the 4th edition as a gift, and only CAD 63 for a second-hand 3rd edition for my algorithms course: 100 dollar difference for a student is quite a lot, to be honest. Although I'd prefer to have my textbook without any errors and in color, I'd rather look up the errata rather than pay 100 dollars more. I think that by the time I get a job, the price will decrease and will be able to get a much better offer on 4th edition in case I want it.

2 people found this helpful

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PAUL

Livre neuve et transport rapide

Reviewed in Canada 🇨🇦 on August 31, 2022

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Bonjour, Je viens de recevoir la livre en bon condition. Neuve, tout est OK. Merci.

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Manuel Martinez

The Bible of Algorithms

Reviewed in Canada 🇨🇦 on May 20, 2022

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Must-have for students and professionals.

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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!

9 people found this helpful

Eduardo

Great content, but many errors and bad printing/paper

Reviewed in Brazil 🇧🇷 on November 18, 2022

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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

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.

5 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

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.

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Follow the Author

Introduction to Algorithms, fourth edition Kindle Edition

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About the author

Thomas H. Cormen

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