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The Algorithm Design Manual 2nd edition-Steven S Skiena
The Algorithm Design Manual 2nd edition  
by Steven S Skiena (Author)
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Publisher : Springer
Publish date : 19-Nov-2011
Category : Computer Books New Arrival
Mediatype : Books
Binding : Paperback
Availability : IsAvailable, Order now ships within 5-7 business days
List Price :   Rs. 895
15%   
off    
Greenleaf Price :  Rs. 761
You Save :  Rs. 134
ISBN : 9781848000698 / Indian ISBN 13: 9788184898651
Pages : 752
Book Summary : The Algorithm Design Manual 2nd edition

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.

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.

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