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Algorithm Design Manual

ISBN-10: 1848000693
ISBN-13: 9781848000698
Edition: 2nd 2008
Authors: Steven S. Skiena
List price: $89.95 Buy it from $32.50 Rent it from $27.31
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Description: ....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  More...

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Book details

List price: $89.95
Edition: 2nd
Copyright year: 2008
Publisher: Springer
Publication date: 11/14/2011
Binding: Mixed Media
Pages: 730
Size: 7.25" wide x 9.50" long x 1.50" tall
Weight: 3.498
Language: English

....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 .

Practical Algorithm Design
Introduction to algorithm design
Algorithm analysis
Data structures
Sorting and searching
Graph traversal
Weighted graph algorithms
Combinatorial search and heuristic methods
Dynamic programming
Intractable problems and approximation algorithms
How do design algorithms
The Hitchhiker's Guide to Algorithms
A catalog of algorithmic problems
Data structures
Numerical problems
Combinatorial problems
Graph problems: polynomial-time
Graph problems: hard problems
Computational geometry
Set and string problems
Algorithmic resources

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