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Guide to Competitive Programming: Learning and Improving Algorithms Through Cont

claymans_collectibles
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US $19.99
ApproximatelyRM 84.30
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Very Good
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eBay item number:297226410548

Item specifics

Condition
Very Good: A book that has been read but is in excellent condition. No obvious damage to the cover, ...
ISBN
9783030393564

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3030393569
ISBN-13
9783030393564
eBay Product ID (ePID)
11038561782

Product Key Features

Number of Pages
Xv, 309 Pages
Language
English
Publication Name
Guide to Competitive Programming : Learning and Improving Algorithms Through Contests
Publication Year
2020
Subject
Programming Languages / General, Programming / General, Programming / Algorithms
Type
Textbook
Subject Area
Computers
Author
Antti Laaksonen
Series
Undergraduate Topics in Computer Science Ser.
Format
Trade Paperback

Dimensions

Item Weight
17.8 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Edition Number
2
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Introduction.- Programming Techniques.- Efficiency.- Sorting and Searching.- Data Structures.- Dynamic Programming.- Graph Algorithms.- Algorithm Design Topics.- Range Queries.- Tree Algorithms.- Mathematics.- Advanced Graph Algorithms.- Geometry.- String Algorithms.- Additional Topics.- Appendix A: Mathematical Background.
Synopsis
Building on what already is the most comprehensive introduction to competitive programming, this enhanced new textbook features new material on advanced topics, such as calculating Fourier transforms, finding minimum cost flows in graphs, and using automata in string problems. Critically, the text accessibly describes and shows how competitive programming is a proven method of implementing and testing algorithms, as well as developing computational thinking and improving both programming and debugging skills. Topics and features: introduces dynamic programming and other fundamental algorithm design techniques, and investigates a wide selection of graph algorithms; compatible with the IOI Syllabus, yet also covering more advanced topics, such as maximum flows, Nim theory, and suffix structures; surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming; reviews the features of the C++ programminglanguage, 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; covers such advanced algorithm design topics as bit-parallelism and amortized analysis, and presents a focus on efficiently processing array range queries; describes a selection of more advanced topics, including square-root algorithms and dynamic programming optimization. Fully updated, expanded and easy to follow, this core textbook/guide is an ideal reference for all students needing to learn algorithms and to practice for programming contests. Knowledge of programming basics is assumed, but previous background in algorithm design or programming contests is not necessary. With its breadth of topics, examples and references, the book is eminently suitable for both beginners and more experienced readers alike.
LC Classification Number
QA76.6-76.66

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claymans_collectibles

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