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The Algorithm Design Manual (Texts in Computer Science)

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“My absolute favorite for this kind of interview preparation is Steven Skiena’s The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace … graph problems are — they should be part of every working programmer’s toolkit. The book also covers basic data structures and sorting algorithms, which is a nice bonus. … every 1 – pager has a simple picture, making it easy to remember. This is a great way to learn how to identify hundreds of problem types.” (Steve Yegge, Get that Job at Google)

“Steven Skiena’s Algorithm Design Manual retains its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. … Every programmer should read this book, and anyone working in the field should keep it close to hand. … This is the best investment … a programmer or aspiring programmer can make.” (Harold Thimbleby, Times Higher Education)

“It is wonderful to open to a random spot and discover aninteresting algorithm. This is the only textbook I felt compelled to bring with me out of my student days…. The color really adds a lot of energy to the new edition of the book!” (Cory Bart, University of Delaware)

“The is the most approachable book on algorithms I have.” (Megan Squire, Elon University)

This newly expanded and updated third edition of the best-selling classic continues to take the “mystery” out of designing algorithms, and analyzing their efficiency. It serves as the primary textbook of choice for algorithm design courses and interview self-study, while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students.

The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Practical Algorithm Design, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, the Hitchhiker’s Guide to Algorithms, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations, and an extensive bibliography.

NEW to the third edition:

— New and expanded coverage of randomized algorithms, hashing, divide and conquer, approximation algorithms, and quantum computing

— Provides full online support for lecturers, including an improved website component with lecture slides and videos

— Full color illustrations and code instantly clarify difficult concepts

— Includes several new “war stories” relating experiences from real-world applications

— Over 100 new problems, including programming-challenge problems from LeetCode and Hackerrank.

— Provides up-to-date links leading to the best implementations available in C, C++, and Java

Additional Learning Tools:

— Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them

— Exercises include “job interview problems” from major software companies

— Highlighted “take home lessons” emphasize essential concepts

— The “no theorem-proof” style provides a uniquely accessible and intuitive approach to a challenging subject

— Many algorithms are presented with actual code (written in C)

— Provides comprehensive references to both survey articles and the primary literature

Written by a well-known algorithms researcher who received the IEEE Computer Science and Engineering Teaching Award, this substantially enhanced third edition of The Algorithm Design Manual is an essential learning tool for students and professionals needed a solid grounding in algorithms. Professor Skiena is also the author of the popular Springer texts, The Data Science Design Manual and Programming Challenges: The Programming Contest Training Manual.

Publisher ‏ : ‎ Springer
Publication date ‏ : ‎ October 6, 2020
Edition ‏ : ‎ Third Edition 2020
Language ‏ : ‎ English
Print length ‏ : ‎ 810 pages
ISBN-10 ‏ : ‎ 3030542556
ISBN-13 ‏ : ‎ 978-3030542559
Item Weight ‏ : ‎ 7.6 ounces
Dimensions ‏ : ‎ 6.93 x 1.5 x 9.21 inches
Part of series ‏ : ‎ Texts in Computer Science
Best Sellers Rank: #114,971 in Books (See Top 100 in Books) #4 in Computer Programming Structured Design #5 in Discrete Mathematics (Books) #15 in Data Processing
Customer Reviews: 4.5 4.5 out of 5 stars (429) var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });

13 reviews for The Algorithm Design Manual (Texts in Computer Science)

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  1. andi

    great material for learning and review
    covers all the basic algorithms that any and every programmer and data scientist is expected to know.for anybody with a CS degree, this is just a review. –– but I like only having to look in a single book for all the basic algorithms.Not what I was hoping for, but I’m satisfied with the depth and quality of information.

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  2. Timmons

    good book
    good book, helps a lot

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  3. Josh

    Flawless Printing
    No printing issues here. The book looks fantastic! I’m excited to read it!

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  4. vince

    Solid book from first principals
    Overall the book is pretty solid and breaks down the methodology behind problem solving. I feel like it throws you into the deep end a little and expects prior knowledge. However, it does a good job explaining and most confusing entries could be resolved with a quick google search from the reader.

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  5. B.R.

    Excellent
    I have the second edition. The third edition comes with some nice improvements. Source code is colored. Programming challenges from onlinejudge.org, hackerrank, and leetcode. A chapter about hashing and randomized algorithms.Great book.

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  6. @iamserda

    Excellent!
    Excellent! Still using this to this day!

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  7. AF

    Great Quality In and Out
    Highly-quality print with solid bind.Book Content – Great recommendation as a desk reference on anything algorithm.

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  8. Bryan

    Disappointing
    This book at times goes into way too much useless technical detail on trivially simple algorithms, then skips even mentioning the name of important common algorithms to solve some of the problems it mentions. That is a really weird paradox it has. For example, it has mathematical equations for common simple algorithms. The equations are totally worthless, it’s not even clear why they were included, even if you understand them, they have no actual purpose. No matter what your experience level or need, there just isn’t any actual use for most of the equations.On the other end of the spectrum, this book doesn’t even mention the names of some common algorithms used to solve important problems. There is one particular subject that this book discusses (briefly) that I happen to know a lot about. I wasn’t expecting much, I thought it would talk about some of the simple common algorithms that solve the problem. It doesn’t. It doesn’t even mention their names. There is in fact a whole category of algorithm for solving some of these problems that isn’t even mentioned by name either. Yet we have mathematical equations for trivially simple algorithms. It’s a weird paradox.I get the feeling from this book that the author either understands algorithms mainly from a mathematical background (rather than a software engineering background), or that they’re not very familiar with many of the algorithms discussed, and so have relied on math and complex technical explanations rather than focusing on software engineering.The examples are all written in C, which is fine, I am from the generation where I grew up with it, but honestly it feels kindof dated these days. The C code is fine, but it’s really nothing special, and it’s neither commented particularly well or explained very well. Variables are often given one letter names, which is fine in a work environment, but here it might have helped the examples along. In fact, I really feel like despite my background in C, this would have benefitted from having the examples in Java.This book doesn’t really teach you about the design of algorithms, which is fine. I didn’t expect it to, but don’t go into it looking for that. It teaches you various problems and various algorithms, but don’t expect a coverage of the common algorithms to solve many of the problems it introduces, because it just doesn’t talk about them.I have tried not to mention the specific areas or algorithms that are missed because I don’t want them to just fix the specific things I talked about. It’s likely a broader issue than just the ones I myself noticed.This is maybe fine as a college textbook with the professor to fill in the gaps, but it’s not good for actual software engineers in the field.

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  9. Glauter

    Excelente book

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  10. babatunde

    The author has a say for you.

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  11. Mathias

    Fantastic book

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  12. Alejandro P.

    El libro es genial, pero tiene una mancha roja extraña en el canto del libro 🙁

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  13. Vivianna

    This is not for beginners but then it isn’t advertised as such. If you’re a nerdy sort then you’ll enjoy working through this book. Also, it uses limited colour throughout (not a great deal) but that makes it more interesting. On the back of the book it says it takes the mystery out of algorithms and yes it helps. Am I glad I bought it? Yes, because this kind of thing ‘entertains’ me, however it is useful if you are preparing for an interview. The price is hefty though and I would suggest looking for an Amazon warehouse purchase if available. At the moment, it’s selling for over £50.00 and that is really too much.

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    The Algorithm Design Manual (Texts in Computer Science)
    The Algorithm Design Manual (Texts in Computer Science)

    Original price was: $84.99.Current price is: $48.45.

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