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Guide to Competitive Programming

Learning and Improving Algorithms Through Contests

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Pages
368pages
Temps de lecture
13heures

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Advanced topics such as Fourier transforms, minimum cost flows in graphs, and automata in string problems are thoroughly explored in this textbook. It emphasizes competitive programming as an effective approach for implementing and testing algorithms. This method not only enhances computational thinking but also improves programming skills, making the content highly relevant for students and professionals looking to deepen their understanding of algorithmic concepts.

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Guide to Competitive Programming, Antti Laaksonen

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Année de publication
2024
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