--- product_id: 332495829 title: "Introduction to Algorithms, fourth edition" price: "SAR 583" currency: SAR in_stock: true reviews_count: 13 url: https://www.desertcart.com.sa/products/332495829-introduction-to-algorithms-fourth-edition store_origin: SA region: Saudi Arabia --- # Full-color illustrations for enhanced comprehension 1000+ pages of deep algorithmic knowledge 140+ new exercises & 22 new problems for mastery Introduction to Algorithms, fourth edition **Price:** SAR 583 **Availability:** βœ… In Stock ## Summary > πŸ“˜ Own the algorithm bible every serious coder needs! ## Quick Answers - **What is this?** Introduction to Algorithms, fourth edition - **How much does it cost?** SAR 583 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.com.sa](https://www.desertcart.com.sa/products/332495829-introduction-to-algorithms-fourth-edition) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - β€’ **Cutting-Edge Content:** Includes new chapters on machine learning, online algorithms, and bipartite graph matchings - β€’ **Visual Learning Boost:** Color added to illustrations for clearer, more engaging study sessions - β€’ **Practice-Driven Mastery:** 140+ new exercises and 22 new problems sharpen your problem-solving skills - β€’ **Comprehensive & Rigorous:** Covers every major algorithm with formal proofs and accessible pseudocode - β€’ **Trusted Academic Standard:** The definitive textbook used worldwide by top universities and professionals ## Overview Introduction to Algorithms, Fourth Edition, is the authoritative, comprehensive textbook that blends rigorous proofs with accessible pseudocode across 1000+ pages. Updated with new chapters on machine learning, online algorithms, and bipartite graph matchings, plus 140+ new exercises, it remains the global standard for advanced algorithm study in academia and industry. ## Description 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. Review: The definitive formal academic textbook on the subject. - 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! Review: Bought for ASU class - Very useful book that's incredibly comprehensive on algorithms. ## Features - color: White - INTRODUCTION TO ALGORITHMS, FOURTH EDITION ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #46,097 in Books ( See Top 100 in Books ) #3 in Computer Algorithms #9 in Programming Algorithms #26 in Computer Programming Languages | | Customer Reviews | 4.5 out of 5 stars 838 Reviews | ## Images ![Introduction to Algorithms, fourth edition - Image 1](https://m.media-amazon.com/images/I/61Mw06x2XcL.jpg) ## Available Options This product comes in different **Media Language, Media Format** options. ## Customer Reviews ### ⭐⭐⭐⭐⭐ The definitive formal academic textbook on the subject. *by B***N on July 28, 2024* 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! ### ⭐⭐⭐⭐⭐ Bought for ASU class *by S***R on October 1, 2026* Very useful book that's incredibly comprehensive on algorithms. ### ⭐⭐⭐⭐⭐ This book is for people who love math notation and theory. *by M***Y on June 18, 2025* I hate this book with the kind of deep hatred reserved for the kid who beat me up and took my lunch money back in grade school, because that is what this book reminds me of - a big bully slapping me around with all of its math notation and theory. If you are the kind of person who loves math notation, can implicitly understand "abuses" of notation, likes to write proofs in your sleep, then this is your book. Mere mortals who love programming and looking to get a better understanding of algorithms should avoid this book at all cost - it's a lot of money to pay for something that'll wind up on the bookshelf. However, I'm going to give this book a good rating. Hey, just because I don't want to spend my days obsessing about logarithms, recurrences, recursion trees, and theorems doesn't mean the content of this book isn't great. ## Frequently Bought Together - Introduction to Algorithms, fourth edition - Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems - The Pragmatic Programmer: Your Journey To Mastery, 20th Anniversary Edition (2nd Edition) --- ## Why Shop on Desertcart? - πŸ›’ **Trusted by 1.3+ Million Shoppers** β€” Serving international shoppers since 2016 - 🌍 **Shop Globally** β€” Access 737+ million products across 21 categories - πŸ’° **No Hidden Fees** β€” All customs, duties, and taxes included in the price - πŸ”„ **15-Day Free Returns** β€” Hassle-free returns (30 days for PRO members) - πŸ”’ **Secure Payments** β€” Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** β€” Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.com.sa/products/332495829-introduction-to-algorithms-fourth-edition](https://www.desertcart.com.sa/products/332495829-introduction-to-algorithms-fourth-edition) --- *Product available on Desertcart Saudi Arabia* *Store origin: SA* *Last updated: 2026-11-08*