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The Algorithm Design Manual 2nd Edition

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This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses 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, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography.

NEW to the second edition:

• Doubles the tutorial material and exercises over the first edition

• Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video

• 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

• Includes several NEW "war stories" relating experiences from real-world applications

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



There is a newer edition of this item:

Editorial Reviews

Review

From the reviews of the second edition:

“This is a detailed and timeless book that I keep reaching for. A useful book that I can not keep access to long enough. It is a important book to have in your library. Unlike other algorithm books that I have the algorithms are written independent of any programming language.” (Mary Anne, Cats and Dogs with Data, maryannedata.com, April, 2014)

“The Algorithm Design Manual by Steven Skiena is aimed at two groups of people: students and professionals. It is written in an informal style that I found pleasant and engaging. The book’s unique structure makes it more likely to be immediately useful to the practitioner who has problem to solve and wants to quickly make progress the book succeeds admirably. Would be helpful to the student who has never seen this material before. Overall, I recommend this book warmly.” (Neelakantan Kartha, The Book Review Column, 2011)

“Algorithms are the very heart of computing. This book is about right for most people. Each of the topics is treated in a readable informal style with lots of asides and accounts of personal experiences - ‘war stories’ in implementing algorithms. If you want to use it as a course textbook then there are lots of exercises at the end of every chapter. Highly recommended.” (Mike James, I Programmer, September, 2009)

"Addressing the main difficulties of solving problems, this book goes far beyond the design of algorithms. It is essential for scientists, engineers, and any professionals who aim to solve problems, with a noticeable emphasis on real problems. It will not only serve as a valuable undergraduate textbook, but it will also become an irreplaceable reference guide for most professionals in the area." (Carlos Linares Lopez, Computing Reviews, February, 2009)

"Skiena focuses on the practical aspects of algorithm design and use. This work fills an important gap in the knowledge of CS practitioners and students. This book is suitable as a text for an undergraduate algorithms class, but also as an invaluable reference for the practicing programmer. This second edition has updated the bibliography to include recent works, making it an extensive bibliography. The index is also thorough and very useful for finding specific problems." (William Fahle, ACM Computing Reviews, December, 2008)

"For a decade, Steven Skiena’s Algorithm Design Manual retained its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. It is now available in an improved second edition that is worth buying simply for the updates. Every programmer should read this book, and anyone working in the field should keep it close to hand. Would I recommend it? Absolutely. This is the best investment a programmer or aspiring programmer can make." (Harold Thimbleby, Times Higher Education, November, 2008)

"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, Steve Yegge’s Blog, March, 2008)

"The book is an algorithm implementation treasure trove, and putting all of these implementations in one place was no small feat. The list of implementations, an extensive bibliography make the book an invaluable resource for everyone interested in the subject." (ACM Computing Reviews)

From the Back Cover

....The most comprehensive guide to designing practical and efficient algorithms!....

The Algorithm Design Manual, Second Edition

"...the book is an algorithm-implementation treasure trove, and putting all of these implementations in one place was no small feat. The list of implementations [and] extensive bibliography make the book an invaluable resource for everyone interested in the subject." --ACM Computing Reviews

"It has all the right ingredients: rich contents, friendly, personal language, subtle humor, the right references, and a plethora of pointers to resources." -- P. Takis Metaxas, Wellesley College

"This is the most approachable book on algorithms I have." -- Megan Squire, Elon University, USA

This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses 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, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography.

NEW to the second edition:

Doubles the tutorial material and exercises over the first edition

• Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video

• 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

• Includes several NEW "war stories" relating experiences from real-world applications

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

ADDITIONAL Learning Tools:

• Exercises include "job interview problems" from major software companies

• Highlighted take-home lesson boxes emphasize essential concepts

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

• Exercises point to relevant programming contest challenge problems

• Many algorithms presented with actual code (written in C) as well as pseudo-code

• A full set of lecture slides and additional material available at www.algorist.com

Written by a well-known algorithms researcher who received the IEEE Computer Science and Engineering Teaching Award, this new edition of The Algorithm Design Manual is an essential learning tool for students needing a solid grounding in algorithms, as well as a special text/reference for professionals who need an authoritative and insightful guide. Professor Skiena is also author of the popular Springer text, Programming Challenges: The Programming Contest Training Manual.


Product details

  • Publisher ‏ : ‎ Springer
  • Publication date ‏ : ‎ April 27, 2011
  • Edition ‏ : ‎ 2nd
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 730 pages
  • ISBN-10 ‏ : ‎ 1848000693
  • ISBN-13 ‏ : ‎ 978-1848000698
  • Item Weight ‏ : ‎ 2.94 pounds
  • Dimensions ‏ : ‎ 7.3 x 1.4 x 9.3 inches

About the author

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Steve Skiena
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Steven S. Skiena is Distinguished Teaching Professor of Computer Science at Stony Brook University. He is the author of six well-regarded books: The Algorithm Design Manual (2020), The Data Science Design Manual (2017), Who's Bigger (2013), Calculated Bets: Computers, Gambling, and Mathematical Modeling to Win (2001), Programming Challenges (with Miguel Revilla, 2003) and Computational Discrete Mathematics (with Sriram Pemmaraju, 2003).


Customer reviews

4.4 out of 5 stars
4.4 out of 5
587 global ratings
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Customers say

Customers find this book to be a comprehensive guide through algorithms and data structures, serving as an excellent reference. They appreciate the author's passion for the subject and the inclusion of war stories as a fantastic touch. The readability receives mixed feedback, with some finding it somewhat readable while others say it's hard to read at times, and the code quality is criticized for being hard to read. The page numbers are missing in the first chapter, though customers consider it good value for money.

AI Generated from the text of customer reviews

104 customers mention "Content quality"95 positive9 negative

Customers praise the book's comprehensive coverage of algorithms and data structures, with great explanations of the basics and serving as an excellent reference guide.

"This text strikes a perfect balance between too complex and too simple-- with hundreds of practical techniques that give a great overview of nearly..." Read more

"...not a book on C, and the lack of syntactic clutter made the algorithm easier to see. I also thought chapter nine was a bit too long...." Read more

"...The author is fond of lucid and effective examples that make it easy to grasp the basic concept of a lot of otherwise opaque/obscure algorithms...." Read more

"...solving methods are presented, and the catalog of problems in the back is just genious .. i LOVE the way this book is written in a very practical way..." Read more

8 customers mention "Story telling"8 positive0 negative

Customers enjoy the book's storytelling, particularly appreciating the war stories, with one customer specifically mentioning the engaging anecdotes about cooking.

"...Skiena's war stories are fun and the description of the algorithms, although not simplified, is certainly clear. What did I get the most from?..." Read more

"...overview of algorithms, with some interesting examples and inspiring war stories...." Read more

"...War Story are a nice addition to the book...." Read more

"...it also explored the basic ingredients and methods and told interesting stories about cooking...." Read more

6 customers mention "Value for money"6 positive0 negative

Customers find the book to be a great value, with one customer noting that run-time costs are considered at every step.

"...It's $20 more expensive in iBooks, but I think it's worth the extra money." Read more

"...Even with all the problems in kindle version it is still worth due to its content." Read more

"...Run-time costs are considered at every step." Read more

"...The quality is OK for international book with low price." Read more

3 customers mention "Academic content"3 positive0 negative

Customers appreciate the academic content of the book, with one customer noting that the author is a university professor and has a passion for the subject matter.

"...But what I liked the most was the war stories: the author is a university professor and also a consultant so he present interesting war stories..." Read more

"...Reading this book I feel the author has a real passion in this area and gives this passion to readers. Really recommend it." Read more

"Very comprehensive and academia-oriented...." Read more

62 customers mention "Readability"35 positive27 negative

Customers have mixed opinions about the book's readability, with some finding it somewhat readable and enjoying the writing style, while others report it is hard to read at times and contain too many typos.

"...The author is fond of lucid and effective examples that make it easy to grasp the basic concept of a lot of otherwise opaque/obscure algorithms...." Read more

"...a self study and year long course text, but frankly the presentation is far from academic and much more rubber hits the road practical, realistic,..." Read more

"I LOVE LOVE LOVE this book. It is so easy to read, and so practical ... concepts are explained wonderfully, with example code and very clear..." Read more

"...And there were a few stylistic issues, such as leaving off function return types and a bunch of global variables, that I didn't like, but I'm..." Read more

12 customers mention "Algorithm approach"6 positive6 negative

Customers have mixed opinions about the algorithm approach of the book, with some appreciating its original problem-solving methods and clear explanations, while others find it unclear and mathematically involved.

"...This book, however, takes a different approach, and serves as a guide book for using algorithms in the real world...." Read more

"3.5 stars if possible but I'll bump to a 4. Book is light on algorithm implementation but does a very good job of explaining the nuts and bolts..." Read more

"...It's an accessible approach to the field of study and shies away from mathematical notation that makes a lot of similar textbooks hard to read as an..." Read more

"...Some algorithms are simply impossible to reconstruct." Read more

7 customers mention "Code quality"4 positive3 negative

Customers have mixed opinions about the code quality in the book, with some finding it hard to read, while one customer mentions it helps with programming competitions.

"...I also love that the example code is in C. Too many books give example code in languages with a lot of overhead, like Java, and end up obscuring..." Read more

"...This makes the code very hard to read and follow as well when you are a lines deep in a method trying to figure out what k[i] - c + a is...." Read more

"...read, and so practical ... concepts are explained wonderfully, with example code and very clear descriptions of motivations behind each strategy ......" Read more

"...-The C sample code was often hard to read as it appeared to be written for compactness..." Read more

4 customers mention "Page numbers"0 positive4 negative

Customers have mixed opinions about the page numbers in the book, with several noting the lack of them, and one customer reporting missing pages in the first chapter.

"...as it might be because the Kindle edition of this book does not offer page numbers." Read more

"...and will be a great reference, but for some reason they failed to include the page numbers with the digital copy...." Read more

"This book came with pages missing in the first chapter. Some pages were printed reverse (mirrored)...." Read more

"...Edit: It turns out the book is also missing almost all of chapter 12. The printing on this book has all sorts of issues" Read more


Great book but I received counterfeit copies
5 out of 5 stars
Great book but I received counterfeit copies
Buyer beware! Amazon appears to be selling counterfeit textbooks. I have notified Amazon of this problem and re-purchased and still received what I believe to be counterfeits due to the very poor quality of the color, binding, printing, and horrible misspellings on the back of the book in particular. The contents of the book is great BTW. However I'd recommend buying direct from publisher.
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Top reviews from the United States

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  • Reviewed in the United States on April 11, 2013
    Format: PaperbackVerified Purchase
    This text strikes a perfect balance between too complex and too simple-- with hundreds of practical techniques that give a great overview of nearly every type of algorithm problem we encounter. This is NOT a "theory" text about big Oh (although it has a chapter), efficiency, p vs np and advanced calculus and linear algebra, but does show practical ways to design algorithms and answer questions in that interview.

    As an example, older calculators always started "high" when finding quadratic factors or square roots. Skiena (p. 134) shows that three possible "front ends" can make subsequent iteration (trial and error until you're done) faster and more efficient: 1. The older always start high method 2. A common bisection technique-- split the problem, then, by "divide and conquer" go higher or lower and 3. Use interpolation to get closer sooner, then iterate.

    The book is set up both as a self study and year long course text, but frankly the presentation is far from academic and much more rubber hits the road practical, realistic, design. The background is given with pseudocode, then the basic level of math needed to get the job done without pages of theory and proofs of Big Oh efficiency, etc.

    Since 2008, the next edition in 2010, and this 2012 "printing corrections" edition (not considered a true edition, but contains many detailed corrections), this book has found a great audience in interview prep, because the author takes such a real world approach to solutions. Make sure you get the corrected edition if you buy from an Amazon third party vendor, you will if you get it directly from Amazon.

    Highly recommended for all levels of programmers. The index also has been updated, and some of the previous reviews pointing out errors corrected, making this an outstanding reference. As if 700 pages weren't enough, the author also provides 19 sections of practical reviews of online resources and a detailed 43 page very current bib. If you're looking for a difficult to find "vein" of info (say, for example, on CAS algos), you'll find a wealth of info in these sections. Many volumes call themselves cookbooks, this really IS the best of that genre. If you can afford only one algo book, and want to use it without a tutor, teacher or coach, this is the one. Don't take that to mean it's simple-- it's just as deep as the academic texts, but simply removes all the math you don't use every day anyway. It's really more for programmers than researchers, but researchers would still learn a lot about how practical algo writers frame problems.

    Library Picks reviews only for the benefit of Amazon shoppers and has nothing to do with Amazon, the authors, manufacturers or publishers of the items we review. We always buy the items we review for the sake of objectivity, and although we search for gems, are not shy about trashing an item if it's a waste of time or money for Amazon shoppers. If the reviewer identifies herself, her job or her field, it is only as a point of reference to help you gauge the background and any biases.
    30 people found this helpful
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  • Reviewed in the United States on October 26, 2009
    Format: HardcoverVerified Purchase
    I've read through the first half of the book, and am now at the catalog of algorithms that makes up the second half, and I've really enjoyed the book so far.

    Most books on algorithms take a very formal, math heavy approach in which they present, analyze and prove things about a somewhat arbitrary collection of algorithms. There's usually no mention of real world applications.

    This book, however, takes a different approach, and serves as a guide book for using algorithms in the real world. There's a heavy emphasis on formulating problems in terms of existing, solved problems. If you can "map" your problem to one with a known solution, then you can use the proven, existing solution to solve your problem. To emphasize that point, roughly the entire second half of the book is a catalog of known problems and solutions, with references to software libraries, books and other sources of information.

    I also love that the example code is in C. Too many books give example code in languages with a lot of overhead, like Java, and end up obscuring the important parts with a ton of object-oriented crap. Yes - OOP is nice, but unless I'm reading a book on OOP, I don't want to dig through 30 lines of irrelevant boilerplate just to find the 10 lines relevant to the algorithm.

    That said, it's not the best code in the world. Some of the snippets could be explained better. And there were a few stylistic issues, such as leaving off function return types and a bunch of global variables, that I didn't like, but I'm willing to forgive those because it's not a book on C, and the lack of syntactic clutter made the algorithm easier to see.

    I also thought chapter nine was a bit too long. A good portion of the chapter is spent reducing various NP-complete problems to other NP-complete problems. Interesting, but it was a bit too theoretical, and didn't really fit with the with the rest of the book.
    20 people found this helpful
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  • Reviewed in the United States on April 6, 2011
    Format: PaperbackVerified Purchase
    I recently bought the second edition in order to do some personal research and, as such, did not plan on reading the book from cover-to-cover. I intend to use the book as a reference and therefore utilize mainly the index and, to a lesser extent, the table of contents. Yes the material is this book is, in general, sufficient, but the index is bogus. The following presents some examples in order to valid my claim (again, I am referring to the second edition and I am NOT making any claims against the first edition):

    (1) Splines --> p. 294 --> Intro to numerical problems with no reference to splines.
    (2) Lisp --> p. 409 --> Section on (un)constrained optimisation - no Lisp.
    (3) Linked lists -->
    (3a) only mentioned in terms of linked lists vs arrays. Correct on p. 368
    (3b) p. 72 --> Section stacks/queues or dictionaries. It should refer to pg. 70

    My only other complaint (so far) is rather minor and came about while reading the first chapter. In particular, section 1.3.4 on Induction and recursion where the author attempts to use induction in order to prove some function Increment(y). Technically the author is using strong induction and not mathematical induction.

    These are just some of the examples of how Springer and their talented editorial staff goofed up, not a representative picture meant to portray the book as an overall failure. As mentioned previously, I would highly recommend this book provided you can get over a faulty index and are not overly pedantic when it comes to someone elses use of Mathematical terminology.
    12 people found this helpful
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Top reviews from other countries

  • Luís Vieira
    5.0 out of 5 stars Um dos Melhores Livros de Algoritmos
    Reviewed in Brazil on January 17, 2019
    Format: HardcoverVerified Purchase
    É uma das melhores escolhas para quem procura aprender a desenvolver algoritmos, as explicações são concisas e bem organizadas, possuem imagens para facilitar a compreensão e relatos das aplicações dos algoritmos no mundo real. Os códigos de exemplos são escritos na línguagem C com uma fonte semelhante a das IDEs e editores utilizados pelos programadores. O livro está dividido em duas partes uma com toda a fundamentação teorica da construção e analise de algoritmos e outra com uma espécie de "guia do mochileiro de algoritmos" categorizando os problemas, estruturas de dados em capítulos e explicando soluções para eles.
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    Luís Vieira
    5.0 out of 5 stars
    Um dos Melhores Livros de Algoritmos

    Reviewed in Brazil on January 17, 2019
    É uma das melhores escolhas para quem procura aprender a desenvolver algoritmos, as explicações são concisas e bem organizadas, possuem imagens para facilitar a compreensão e relatos das aplicações dos algoritmos no mundo real. Os códigos de exemplos são escritos na línguagem C com uma fonte semelhante a das IDEs e editores utilizados pelos programadores. O livro está dividido em duas partes uma com toda a fundamentação teorica da construção e analise de algoritmos e outra com uma espécie de "guia do mochileiro de algoritmos" categorizando os problemas, estruturas de dados em capítulos e explicando soluções para eles.
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  • Sean
    3.0 out of 5 stars This Kindle format isn't great
    Reviewed in Australia on April 10, 2021
    Format: eTextbookVerified Purchase
    The book itself is great, but the Kindle format and layout doesn't match the quality of the book. After reading it for a minute my eyes felt strained, and you can't change the font size of the code hunks in this book, which is really on my device. Btw, Amazon should allow customers review content and packaging separately, I feel like I've sinned when giving a 3 stars to this book.
  • Cliente Amazon
    5.0 out of 5 stars Lo consiglio
    Reviewed in Italy on March 31, 2021
    Format: HardcoverVerified Purchase
    Un libro che non può mancare ad un Ingegnere Informatico
  • NiKhil Joshi
    5.0 out of 5 stars A real manual to building ideas
    Reviewed in the United Kingdom on January 16, 2014
    Format: HardcoverVerified Purchase
    What I like about this book is that, it does not talk about what a particular algorithm does and how it is implemented, but more it takes you on a flight between two algorithms. It trains the methodology, logical plan how (and possibly why) one takes off from an earlier algorithm and goes on developing something new.

    A must read for any computer scientist, student or educator, who likes to invest more in ideas than the actual details.
  • CorMag
    5.0 out of 5 stars Ein Kochbuch mit leckeren Menüs
    Reviewed in Germany on February 24, 2010
    Format: HardcoverVerified Purchase
    Ich bin quasi neu in der "Optimierer Szene". Das ist erst mein drittes Buch über Optimierung. So please take my review with a grain of salt.

    Mein spezifisches Optimierungsproblem ist ein "Integer/Combinatorial Otimization" Problem. So NP vollständig wie ein Problem nur sein kann und leider auch keiner der Klassiker aus der akademischen Literatur (kein TSP, kein echtes VRP, kein shortest Path, kein Knapsack...). oder wenigsten seh ich es so (was nicht viel aussagt.....leider). Also bin/war ich auf der Suche nach einem Buch, das es einem eine Einführung in das Design von Algos bietet. Obwohl das Buch weniger über Heurismen und Meta-Heurismen handelt, wie ich es mir erhofft habe, war es doch ein echter Glückstreffer, der mir bestimmt cnoch tolle Dienste leisten wird. Der I Teil des Buches behandelt das genereölle Design von Algos, Teil II ist ein Katalog/eine Klassifizierung von Problemen.

    Das Buch deckt also recht viele Themenbereiche ab (einfach mal einen Blick ins Inhaltsverzeichnis werfen). Kurz und knapp, dafür aber sehr übersichtlich, prägnant und gut verständlich. Kein Formelmarathon und trotzdem, so finde ich, mit genügend Tiefe. Die "War Stories" sind unterhaltsam aber auch lehrreich. Auf der Home Page des Autors gibts code und interessante links.

    Ich finds Klasse!
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