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The Algorithm Design Manualby Steven S. Skiena
Synopses & Reviews
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.
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.
....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."
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.
Table of Contents
Part I: Practical Algorithm Design. Introduction to Algorithms. Algorithm Analysis. Data Structures. Sorting and Searching. Graph Traversal. Weighted Graph Algorithms. Combinatorial Search and Heuristic Methods. Dynamic Programming. Intractable Problems and Approximations. How to Design Algorithms.- Part II: The Hitchhiker's Guide to Algorithms. A Catalog of Algorithmic Problems. Data Structures. Numerical Problems. Combinatorical Problems. Graph Problems: Polynomial-Time. Graph Problems: Hard Problems. Computational Geometry. Set and String Problems. Algorithmic Resources.- Bibliography.- Index.
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