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The Algorithm Design Manual [Hardcover]

Steven S Skiena
3.9 out of 5 stars  See all reviews (7 customer reviews)
RRP: 55.07
Price: 49.36 & FREE Delivery in the UK. Details
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Book Description

31 Oct 2011 1848000693 978-1848000698 2nd ed. 2008

This expanded and updated second edition of a classic bestseller continues to take the "mystery" out of designing and analyzing algorithms and their efficacy and efficiency. Expanding on the highly successful formula of the first edition, the book now serves as the primary textbook of choice for any algorithm design course while maintaining its status as the premier practical reference guide to algorithms.

NEW: (1) Incorporates twice the tutorial material and exercises. (2) Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video. (3) Contains a highly unique catalog of the 75 most important algorithmic problems. (4) Includes new "war stories" and "interview problems", relating experiences from real-world applications.

Written by a well-known, IEEE Computer Science teaching-award winner, this new edition is an essential learning tool for students needing a solid grounding in algorithms, as well as a uniquely comprehensive text/reference for professionals.


Frequently Bought Together

The Algorithm Design Manual + Cracking the Coding Interview: 150 Programming Questions and Solutions + Introduction to Algorithms
Price For All Three: 111.10

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Product details

  • Hardcover: 730 pages
  • Publisher: Springer; 2nd ed. 2008 edition (31 Oct 2011)
  • Language: English
  • ISBN-10: 1848000693
  • ISBN-13: 978-1848000698
  • Product Dimensions: 23.9 x 18.3 x 3.6 cm
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Bestsellers Rank: 79,533 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Review

From the reviews of the 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, an extensive bibliography … make the book an invaluable resource for everyone interested in the subject." (ACM Computing Reviews)

"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)

"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)

"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)

“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)

“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)

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.


Inside This Book (Learn More)
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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Customer Reviews

Most Helpful Customer Reviews
5 of 5 people found the following review helpful
3.0 out of 5 stars Good coverage but presentation is not good 14 May 2012
By BrianK
Format:Hardcover
First the pros: in terms of coverage, this book gives a good introduction to, and listing of, algorithms. The catalog that makes up the second half looks like an extremely useful reference (although I haven't had a chance to use it as such as I've only finished the book). The "War Stories" (sample real-world problems that the author has had to solve presented in a chatty style) are a good idea.

Now, the cons. I believe it really falls down on presentation.

1. Often poor explanations. I often found myself rereading lines/paragraphs over & over to try to get the meaning. Then going to wikipedia where the particular issue was clearly & concisely explained. The most cursory proofreading by a student could have easily pointed out the missing word/line that would have clarified the text. Also, the structure is out of order - sometimes reference is made to terms that are not explained until later in the text.

2. Mistakes. The book is full of mistakes. Typos, grammar, but worst of all - and this is unforgivable - code errors. I spent hours looking at one code solution wondering why I couldnt understand it. I finally suspected the problem was not with me & subsequently found a list of errata on the web (not allowed to put the link in this review). If you do buy this book I strongly urge you to check if your revision has these errors and, if so, correct them before you start reading. I cannot understand how this book got to a second edition (and God knows how many revisions) without correcting these errors. Some of them are crucial - code won't work with them. Even the word "not" is in one line when it shouldn't be!! This is unbelievably sloppy. Has noone actually proofread this book at all?

Its a shame the presentation is so poor. If I spent an hour or two with the author after reading it, I believe I could help him to substantially improve it in terms of presentation. With better presentation, I believe it would be a very worthwhile read.
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13 of 15 people found the following review helpful
2.0 out of 5 stars Quite Superficial 8 July 2010
Format:Hardcover|Verified Purchase
This book gives an extremely wordy yet superficial explanation of a lot of algorithms, it goes to great lengths to describe the problem but doesn't really go into enough depth on anything but the basics to be immediately useful in formulating a solution. I know this has quite a few good reviews, so I guess people have found it useful, but personally I would say wikipedia is a much better source for information about a lot of the things discussed in this book, both in terms of depth of information and succinctness. The book is useful as an index into the wider world of algorithms but quite why it took the author 700 pages to achieve this is beyond me.
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5.0 out of 5 stars A real manual to building ideas 16 Jan 2014
Format:Hardcover|Verified 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.
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2 of 3 people found the following review helpful
4.0 out of 5 stars Nice book but misses some important topics 8 Mar 2011
Format:Hardcover
It's a very nice book to read with a straight to the point approach, but I missed something deeper about trees and other things that Introduction to Algorithms covers more completely.
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