The Algorithm Design Manual: Edition 2

· Springer Science & Business Media
3.9
49 reviews
Ebook
730
Pages
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About this ebook

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

Ratings and reviews

3.9
49 reviews
A Google user
July 14, 2011
Great book, but very poor scan quality by google books. hard to justify $70 when my eyes hurt this bad...
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Roy “Mike” Metzger
August 24, 2018
I was looking to purchase the book but the cuteness of jamming all the words together talked me out of it.
14 people found this review helpful
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Qwerty
September 20, 2019
From the free sample the quality seems to be terrible. Didn't buy.
10 people found this review helpful
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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.

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