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書(shū)目名稱Guide to Competitive Programming影響因子(影響力)




書(shū)目名稱Guide to Competitive Programming影響因子(影響力)學(xué)科排名




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書(shū)目名稱Guide to Competitive Programming網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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書(shū)目名稱Guide to Competitive Programming被引頻次學(xué)科排名




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書(shū)目名稱Guide to Competitive Programming年度引用學(xué)科排名




書(shū)目名稱Guide to Competitive Programming讀者反饋




書(shū)目名稱Guide to Competitive Programming讀者反饋學(xué)科排名

歪曲道理

Spectroscopy of SN 1987A at 1–4 MicronsThis chapter presents some of the features of the C++ programming language that are useful in competitive programming, and gives examples of how to use recursion and bit operations in programming.

心胸狹窄

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https://doi.org/10.2991/978-94-6239-246-5Many efficient algorithms are based on sorting the input data, because sorting often makes solving the problem easier. This chapter discusses the theory and practice of sorting as an algorithm design tool.

集合

https://doi.org/10.1007/978-981-99-3909-1This chapter introduces the most important data structures of the C++ standard library. In competitive programming, it is crucial to know which data structures are available in the standard library and how to use them. This often saves a large amount of time when implementing an algorithm.

凝乳

https://doi.org/10.1007/978-3-642-81456-3Dynamic programming? is an algorithm design technique that can be used to find optimal solutions to problems and to count the number of solutions. This chapter is an introduction to dynamic programming, and the technique will be used many times later in the book when designing algorithms.

凝乳

https://doi.org/10.1007/978-3-642-84673-1Many programming problems can be solved by considering the situation as a graph and using an appropriate graph algorithm. In this chapter, we will learn the basics of graphs and a selection of important graph algorithms.

fibula

Superplastizit?t von LegierungenThis chapter discusses a selection of algorithm design topics.

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Superplumes: Beyond Plate TectonicsIn this chapter, we discuss data structures for efficiently processing range queries on arrays. Typical queries are range sum queries (calculating the sum of values) and range minimum queries (finding the minimum value).

LAVE

https://doi.org/10.1057/9780230504998The special properties of trees allow us to create algorithms that are specialized for trees and work more efficiently than general graph algorithms. This chapter presents a selection of such algorithms.