Guide to Competitive Programming 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Guide to Competitive Programming

简体网页||繁体网页
Antti Laaksonen 作者
Springer
译者
2018-1-22 出版日期
296 页数
GBP 26.99 价格
Paperback
丛书系列
9783319725468 图书编码

Guide to Competitive Programming 在线电子书 图书标签: 计算机  Algorithm  软件工程  计算机科学  竞赛  algorithm  Programming  Competitive   


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发表于2024-11-26


Guide to Competitive Programming 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Guide to Competitive Programming 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Guide to Competitive Programming 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Guide to Competitive Programming 在线电子书 用户评价

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算法竞赛选手可以读读,涉及面比较广

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算法竞赛选手可以读读,涉及面比较广

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其实是在读它的免费版:Competitive Programmer’s Handbook

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其实是在读它的免费版:Competitive Programmer’s Handbook

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算法竞赛选手可以读读,涉及面比较广

Guide to Competitive Programming 在线电子书 著者简介


Guide to Competitive Programming 在线电子书 图书目录


Guide to Competitive Programming 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Guide to Competitive Programming 在线电子书 图书描述

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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