The Algorithm Design Manual

....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 points 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.

Aside from this, the book has several features to recommend it:
(1) There are "war stories" scattered throughout the text. These are special sections that describe the author's experience working with algorithmic problems "in the field". These are particularly interesting because the present false starts and failures along the way to the final solution. This is a nice change from the standard model of simply presenting algorithms and proving them correct.

(2) Unlike others, such as the popular Cormen, Lieserson, Rivest and Stein text -- which is a bit advanced for beginning study -- this really is an introduction to algorithms. It is quite suitable for, say, undergradutes who have taken a couple of basic CS courses.

(3) Chapter 8 is a 250-page "Catalog of Algorithmic Problems". Here, you will find descriptions of hundreds of standard formulations for algorithmic problems along with the basic solution approaches, and -- this is what really sets it apart -- pointers to implementations of these algorithms. This is part of the overall emphasis of the book: that of understanding standard algorithms in order to avoid "reinventing the wheel".

Overall, I recommend this book for people with some programming experience that would like to take their work to the next level. Hardcore computer scientists (especially those with a more theoretical bent) may also benefit from this book, but should consider it a supplement to one of the more advanced texts, such as the above-mentioned CLRS.


You will love it!   March 20, 2001
Nikos Kanellopoulos
44 out of 44 found this review helpful

Apart from beeing really useful, this book has two more interesting characteristics: 1. it is very readable 2. it is very amusing/interesting at times. The book is very good if you are a beginner in the subject of computer algorithms, but note that it is not a stand-alone book. You also need a good algorithms textbook to cover the subject of algorithms. Skiena reviews some aspects of the algorithmic theory he regards especially useful/important and presents his interesting perspective, but some times he uses algorithms or techniques he has not presented. What makes this book great is the "War stories", where the author describes real problems and the process that led to the algorithm that solved the problems. Something like Bentley's magnificent book "Programming pearls" (get this one too!). And, of course, the categorized catalog of algorithmic problems, which comprises the bigest part of the book, is almost a guarantee that once you come across a real problem you will shortly know where to look for a solution. Moreover, that solution may already be coded, waiting for you in the CD that comes with the book (which also includes a one-semester lectures of the author in shockwave-audio format).


Useful resource!   October 3, 2001
Shlomo Yona (Israel)
31 out of 34 found this review helpful

In my line of work I am, many times, in need of some algorithm or resource to do some job. Sure I learned many during my B.Sc. studies, and during my work, but some are hard to remember, and some I never knew - and sometimes you just need to know how to call the problem in order to locate resources about it from the internet.

Well - this book solves it all!

One part contains "war stories", which I found very useful, and amusing - After reading them I felt like I learned many lessons.

The second part, which is the reason I bought this book at the first place, is a very impressive catalog of algorithms and problems - you just need to know something about the problem you need to solve, and most probably, your problem will be described here with clear definitions, and some suggested algorithms for solutions and with resources from other books/articles and web resources.

I tell you - so many times this book was the first and only stop in my persue of finding the algorithm I needed.

I'd recommend this book to anyone studying and working with algorithms. This is a must in your bookshelf - even more - it's a must on your table!


The hitch-hiker's guide to Algorithms.   July 28, 1998
11 out of 11 found this review helpful

The Catalog was my main reason for buying the book. It's an invaluable reference base for people whose boss 'needs an answer by tomorrow'.

+ : The War Stories are fun reading, and do a good job of explaining how theory relates to practice. - : Restating the obvious at times, while deliberately vague elsewhere. Net : if you use a greedy heuristic to select your reading, this book probably comes ahead of the pack.


Accessible Guide to Algorithm Design   February 21, 2006
calvinnme
11 out of 11 found this review helpful

For those computer science students and programmers who are put off by the style of "Introduction to Algorithms" by Cormen et al., this book is a good alternative. Rather than just being a catalog of algorithms with code and little explanation, this book covers a much needed middle ground and contains a good deal about the analysis and design of algorithms in general along with discussions of common algorithms themselves in an accessible style. In fact, the author makes a point of mentioning in his preface that you will not find a single theorem in this book, and that the purpose of his book is to get working programmers up to speed quickly on both the generalities and specifics of algorithm design.
The first part of the book is on techniques, and covers the basics of modeling algorithms along with "Big Oh" notation, data structures and sorting, dynamic programming, graph algorithms, combinational search, and the concept of intractibility. What makes this section of the book particularly interesting are the author's "war stories" that talk about real world applications of the ideas discussed in each chapter.
Part two of the book, "Resources", is an extensive catalog of algorithmic problems organized by type. For each problem mentioned, the book includes a problem description and discussion, possible implementations, and other algorithmic problems that are related to this one. In the implementation section for each algorithm, the author demonstrates the kinds of questions that the reader should ask when designing his or her own implementation. The C, C++, Fortran, and Pascal code for all algorithm implementations mentioned is on the accompanying CD rather than in the book itself, which helps make the book more compact.
This book is a very good introduction to the methods of algorithm analysis and design, and an encyclopedic reference on many different types of algorithms. Highly recommended.