Guide to Competitive Programming 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Guide to Competitive Programming

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Antti Laaksonen 作者
Springer
譯者
2018-1-22 出版日期
296 頁數
GBP 26.99 價格
Paperback
叢書系列
9783319725468 圖書編碼

Guide to Competitive Programming 在線電子書 圖書標籤: 計算機  Algorithm  軟件工程  計算機科學  競賽  algorithm  Programming  Competitive   


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Guide to Competitive Programming 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Guide to Competitive Programming 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Guide to Competitive Programming 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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其實是在讀它的免費版:Competitive Programmer’s Handbook

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其實是在讀它的免費版:Competitive Programmer’s Handbook

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其實是在讀它的免費版:Competitive Programmer’s Handbook

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其實是在讀它的免費版:Competitive Programmer’s Handbook

Guide to Competitive Programming 在線電子書 著者簡介


Guide to Competitive Programming 在線電子書 著者簡介


Guide to Competitive Programming 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Guide to Competitive Programming 在線電子書 圖書描述

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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