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Programming Challenges - The Programming Contest Training Manual (Steven S. Skiena, Miguel A. Revilla)

...An ideal resource for improving programming skills...

Studying the challenges of problems from international programming competitions is an effective way to improve your algorithmic and coding skills and understanding.

This new programming companion uses international programming competition-type problems to motivate the study of algorithms, programming, and other topics in computer science. The book includes more than 100 programming challenges, as well as the theory and key concepts necessary for approaching them. Problems are organized by topic and supplemented by complete tutorial material. Readers gain a concrete understanding of both algorithmic techniques and advanced coding topics.

Unique features:

Offers a wealth of programming problems suitable for self-study-all with online judging at www.programming-challenges.com

Presents practice training for all the major programming contests-ACM International Collegiate Programming Contest (ACM ICPC), International Olympiad in Informatics (IOI), and Topcoder Challenge

Serves as a convenient, web-based means for adding a programming component to any algorithms or software engineering course

Contains complete working code for fundamental data structures and graph, string. numerical, and geometric algorithms

Provides a brief-yet-thorough treatment of key elements of number theory, geometry, dynamic programming, and graph algorithms

Supports all popular programming languages (C, C++, Pascal, Java)

Steven S. Skiena is a professor of computer science at SUNY Stony Brook and is the author of many widely used books, including The Algorithm Design Manual. He received the 2001 IEEE Computer Society Undergraduate Teaching Award. Miguel A. Revilla is a pro- fessor of applied mathematics at the University of Valladolid, Spain. He is the official website archivist of the ACM ICPC and creator/maintainer of the primary robot judge and contest-hosting website.

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ISBN: 9780387001630

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Varenr. 682 222 208

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