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Synopsis
Expanding on the highly successful formula of the first edition, this 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.
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About the Author
Steven Skiena is Professor of Computer Science at Stony Brook University. His research interests include the design of graph, string, and geometric algorithms, and their applications (particularly to biology). He is the author of four books, including "The Algorithm Design Manual" and "Calculated Bets: Computers, Gambling, and Mathematical Modeling to Win". He is recipient of the ONR Young Investigator Award and the IEEE Computer Science and Engineering Undergraduate Teaching Award.
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.
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- PublisherSpringer
- Publication date2010
- ISBN 10 1849967202
- ISBN 13 9781849967204
- BindingPaperback
- LanguageEnglish
- Edition number2
- Number of pages748
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The Algorithm Design Manual
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ISBN 10: 1849967202
ISBN 13: 9781849967204
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The Algorithm Design Manual
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