The Algorithm Design Manual

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Edition: 2

ISBN: 1848000693, 978-1-84800-069-8, 978-1-84800-070-4, 1848000707

Size: 11 MB (11451248 bytes)

Pages: 730/739

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Steven S. Skiena (auth.)1848000693, 978-1-84800-069-8, 978-1-84800-070-4, 1848000707

….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.


Table of contents :
Front Matter….Pages I-XVI
Front Matter….Pages 1-1
Introduction to Algorithm Design….Pages 3-30
Algorithm Analysis….Pages 31-64
Data Structures….Pages 65-102
Sorting and Searching….Pages 103-144
Graph Traversal….Pages 145-190
Weighted Graph Algorithms….Pages 191-229
Combinatorial Search and Heuristic Methods….Pages 230-272
Dynamic Programming….Pages 273-315
Intractable Problems and Approximation Algorithms….Pages 316-355
How to Design Algorithms….Pages 356-360
Front Matter….Pages 361-361
A Catalog of Algorithmic Problems….Pages 363-365
Data Structures….Pages 366-392
Numerical Problems….Pages 393-433
Combinatorial Problems….Pages 434-474
Graph Problems: Polynomial-Time….Pages 475-522
Graph Problems: Hard Problems….Pages 523-561
Computational Geometry….Pages 562-619
Set and String Problems….Pages 620-656
Algorithmic Resources….Pages 657-664
Back Matter….Pages 665-730

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