Programming Challenges: The Programming Contest Training Manual - Softcover

Skiena, Steven S.

Softcover

ISBN 10: 0387001638 ISBN 13: 9780387001630

Publisher: Springer, 2003

Synopsis

The challenges of problems from international programming competitions are an effective way to improve your algorithmic and coding skills and understanding. This volume 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 rich programming problems suitable for self-study -- all with on-line judging at www.programming-challenges.com * Presents practice training for all 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 of 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 in number theory, geometry, dynamic programming, and graph algorithms * Supports all popular programming languages (C, C++, Pascal, Java) Steven S. Skiena is a member of the faculty of computer science at SUNY Stony Brook and is author of many widely used books, including The Algorithm Design Manual. He received the 2001 IEEE Computer Society Undergraduate Teaching Award. Miguel Revilla is a member of the faculty of computer science at the University of Valladolid, Spain. He is official website archivist of the ACM ICPC and creator/maintainer of the primary robot-judge, contest-hosting website.

About this title

From the Back Cover

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 contents―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)

About the Author

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 professor of applied mathematics at the University of Vallodolid, Spain. He is the official website archivist of the ACM ICPC and creator/maintainer of the primary robot judge and content-hosting website.

Edition details

• Publisher: Springer
• Publication date: 2003
• Language: English
• ISBN 10: 0387001638
• ISBN 13: 9780387001630
• Binding: Paperback
• Edition number: 1
• Number of pages: 368