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Guide to Competitive Programming

Name: Guide to Competitive Programming
Brand: Springer Nature Switzerland AG
SKU: 9783030393564
Price: 171.98 PLN
Availability: InStock

Learning and Improving Algorithms Through Contests

Autor: Antti Laaksonen

Język:

Oprawa: Miękka

Wydawca: Springer Nature Switzerland AG

Dostępność: Dostępna u dostawcy w małych ilościach

Wysyłamy za 11-15 dni

171.98 zł

This invaluable textbook presents a comprehensive introduction to modern competitive programming. Th...

Informacje o książce

Autor

Antti Laaksonen

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2020

strony

309

EAN

9783030393564

Enbook ID

25366163

Wydawca

Springer Nature Switzerland AG

Waga

504

Wymiary

233 x 154 x 22

Pełny opis

This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programming and debugging skills, and reinforcing the type of thinking required to solve problems in a competitive setting. The book contains many "folklore" algorithm design tricks that are known by experienced competitive programmers, yet which have previously only been formally discussed in online forums and blog posts. Topics and features: reviews the features of the C++ programming language, and describes how to create efficient algorithms that can quickly process large data sets; discusses sorting algorithms and binary search, and examines a selection of data structures of the C++ standard library; introduces the algorithm design technique of dynamic programming, and investigates elementary graph algorithms; covers such advanced algorithm design topics as bit-parallelism and amortized analysis, and presents a focus on efficiently processing array range queries; surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming; examines advanced graph techniques, geometric algorithms, and string techniques; describes a selection of more advanced topics, including square root algorithms and dynamic programming optimization. This easy-to-follow guide is an ideal reference for all students wishing to learn algorithms, and practice for programming contests. Knowledge of the basics of programming is assumed, but previous background in algorithm design or programming contests is not necessary. Due to the broad range of topics covered at various levels of difficulty, this book is suitable for both beginners and more experienced readers.

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Guide to Competitive Programming

Learning and Improving Algorithms Through Contests

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