Amazon.ca:Customer reviews: Introduction to Algorithms, fourth edition

Reviewed in Canada 🇨🇦 on January 8, 2023

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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Sean

Amazing quality and quantity. (

Reviewed in the United States 🇺🇸 on May 18, 2023

Verified Purchase

Truly like doctors reference book for programming and understanding algorithms form my few days with it so far.

Terrible shipping practices, my book has a rip in the cover :( idk what to do with that but it sucks for such a great book and so expensive to be thrown in an envelope. Considering a replacement.

Whats not relevant to algorithmic studies? politics or virtue signaling.(last image is my reference on waisted time finding words to replace them... a lot of us are scientists, we shouldn't need to participate in this political madness "regretfully uncles", let's just stick to science, and being good to others and let's use our discoverys to help others in need, what your all doing is demeaning to me and others like me and a huge waist of time.)

One person found this helpful

Kishor Kunal

Great product, bad delivery

Reviewed in India 🇮🇳 on March 20, 2023

Verified Purchase

Book has excellent quality print and is great on content. Issue is with amazon delivery - this is the 4th time I’ve received a book in tore condition. Returned and got back again with some minor folds.
Can u please be a bit careful with your book deliveries ?

2 people found this helpful

Amazon Customer

Feels good to hold

Reviewed in India 🇮🇳 on December 15, 2022

Verified Purchase

Loved to see the pages have a glossy finish and pictures are colored...

2 people found this helpful

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!

10 people found this helpful

gr3gory 😜

Une référence

Reviewed in France 🇫🇷 on October 3, 2022

Verified Purchase

Une référence en la matière mais il est bon de savoir que les maths vous seront utiles pour en tirer pleinement partie

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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 !

One person found this helpful

Nuno C. Inácio

One of the greats

Reviewed in Spain 🇪🇸 on September 13, 2022

Verified Purchase

This book is often hailed as "The" algorithm book, and with good reason. It has been on my wish list ever since I saw it at my uni's library some 20+ years ago. With the 4th edition having been recently launched I finally decided to buy it.

It combines a good variety of algorithms with rigorous mathematical analysis of said algorithms. It will teach you how algorithms are developed and how to analyze an algorithm's performance.

I would not recommend this for someone who is beginning their programming journey. There are other books and online resources which are more suited for a beginner who just wants to learn some algorithm programming without all the math stuff.

This works great as a reference, although nothings stop you from reading it back to back. But it will take a long time, particularly if you invest yourself into understanding all the underlying details.

5 star		79%
4 star		10%
3 star		3%
2 star		1%
1 star		6%

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Introduction to Algorithms, fourth edition

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