This is an extremely high quality formal academic textbook on the subject of algorithms in computer science. This book likely gets assigned in many upper division or graduate level classes on the subject. For example, it has formal academic proofs of all of its claims about algorithms up front, and it is filled with exercises that are clearly intended to be completed by students. This is a formal and rigorous high level academic textbook, really serious stuff.
The pseudo code is excellent, top notch, it makes even very complex algorithms readable. The pseudo code is close-ish to python in style, but the discussion of the algorithms more broadly is clearly written by people coming from a background in C/C++ since they reference pointers frequently during their explanations. The pseudo code is good enough that it could likely be used as is.
The book I got was clearly freshly printed, it smelled as though the ink had just dried and one of the pages still needed to be separated at the bottom from another. So if you buy new, you might get a book that has just been printed, which is pretty cool. The printing (at least the hard cover) is very high quality, full color, glossy pages. There are some minor printing mistakes, but this is like a 1000+ page book, so the fact that 99% of it is perfect is pretty awesome.
This covers virtually every common algorithm, and even includes mention and brief discussion of rare algorithms and variations of common algorithms. It's 1000+ pages, and I get the feeling that they packed in as much as they possibly could.
I would love if they would release a second volume because they just didn't have room here to discuss everything. Like they mention a ton of variations of algorithms that they just don't have the time to explore. For example, I'd love to have a whole section dedicated to self balancing binary trees. They cover the most common self balancing binary tree algorithms, but they briefly mention and discuss at least 5-10 other related algorithms that I would love to see covered in depth.
Likewise, I would love for a second volume to cover computational geometry, which is absent from this book. I totally get why they didn't include it, it's a whole field in and of itself, and this book is already 1000+ pages, and this book covers almost literally every other major algorithm and problem. That's why I hold out hope, not for a revised edition, but for a second volume that covers the stuff that this one didn't have time for.
This book is a formal academic textbook. It's not an intro level text. You need to know your stuff before reading it. It doesn't try to be particularly easy to read, but nor does make the subjects seem overly complex. It's just a rigorous academic look at algorithms, like you'd expect in an upper level college course. Could it be written in a simpler style? Sure, but I feel like the market for this book is classrooms and academics, that kind of thing. It's still very readable as long as you know your stuff, just don't go in expecting intro level material. This is the opposite of intro level.
If you are a software engineer, you pretty much owe it to yourself to own this book. This is the definitive textbook on the subject of algorithms. I really, really hope they release a second volume that covers all the algorithms that they only mention in this work. This work is very comprehensive, don't get me wrong. It covers pretty much every major algorithm that you'd want to know, with the obvious exception of computational geometry. It even covers the NP-Hard problems, it really is comprehensive. I just want all the more obscure algorithms too!
Publishers and authors if you're listening, please release a second volume of this awesome book that covers everything you couldn't fit in this one!
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Customers find the book excellent for explaining algorithms and consider it a definitive academic textbook on the subject. The code quality receives mixed feedback, with customers saying the pseudo code is good enough, while readability is also mixed, with several noting it's not an easy read. The sturdiness of the book receives negative feedback, with multiple customers reporting that it's already tearing apart.
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18 customers mention information quality, 16 positive, 2 negative
This is a fantastic reference, and I've owned both the second and fourth edition, but the paper quality and binding is still terrible....Read more
The information in the book is great but the book itself isn't built to last. The binding to the cover is being held together by paper....Read more
...This book has been really helpful....Read more
The content is great, but I think the quality of the eBook version is low....Read more
8 customers mention algorithm knowledge, 8 positive, 0 negative
Pretty solid book, you should have some foundation in discrete math, calculus, and data structures....Read more
Truly like doctors reference book for programming and understanding algorithms form my few days with it so far....Read more
...Introduction to Algorithms" is basically the big encyclopedia of algorithm. It's got everything from the simple stuff to the mind-bogglingly complex....Read more
...This new edition adds machine learning algorithms, but you probably already know them better than what presented in this new edition....Read more
6 customers mention readability, 2 positive, 4 negative
I really like this book. but it's TOOOOOO hard to read a textbook with kindle edition... you should try a sample and see those Tiny white boxes and...Read more
...I love this book because I like clear, explicit, unambiguous technical information. I'm using it for my introduction to algorithms class....Read more
...There are indentation errors that can make understanding the pseudocode slightly difficult....Read more
...nice coat of paint but the content is very verbose and counter-intuitive to learning....Read more
6 customers mention sturdiness, 0 positive, 6 negative
Ordered a used book in "good" condition, and it arrived with the spine detached and the entire contents hanging by a single slip of paper glued to...Read more
A bit disappointing to get a torn spine. Now I’m trying to figure out how to glue it together since I can’t be bothered with returning the book.Read more
The information in the book is great but the book itself isn't built to last. The binding to the cover is being held together by paper....Read more
The book breaks apart too easily- I wish they included an ebook w/ purchase.Read more
Amazing quality and quantity. (
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.)
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- Priyanshu PatidarReviewed in India on April 11, 2025
A Must-Read for Anyone Interested in Algorithms
Format: HardcoverVerified Purchase - mikael englundReviewed in Sweden on July 10, 2024
Illegal print
Format: HardcoverVerified Purchase
Do not buy this is illegal product much smaller than it supposed to be less pages and lots of weird fonts and double print and bad pages.mikael englundIllegal print
Reviewed in Sweden on July 10, 2024
This is stolen from mit press and Amazon should be ashamed to sell this. I asked for a legitimate copy but Amazon refuses
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- Robert AJ BoganReviewed in the United Kingdom on April 24, 2022
Simply Magnificent
Format: HardcoverVerified Purchase -
- skylarkningReviewed in Canada on November 1, 2025
Genuine copy.
Format: HardcoverVerified Purchase
Genuine copy. Pricey but good and useful book.skylarkningGenuine copy.
Reviewed in Canada on November 1, 2025
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