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Guide to Competitive Programming Learning and Improving Algorithms Through Conte
US $50.00
ApproximatelyRM 211.40
Condition:
Brand New
A new, unread, unused book in perfect condition with no missing or damaged pages.
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Located in: Lansdale, PA, United States
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Estimated between Mon, 27 Oct and Tue, 4 Nov to 94104
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eBay item number:357181741421
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN
- 9783031617935
About this product
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3031617932
ISBN-13
9783031617935
eBay Product ID (ePID)
18067068696
Product Key Features
Number of Pages
Xviii, 349 Pages
Language
English
Publication Name
Guide to Competitive Programming : Learning and Improving Algorithms Through Contests
Subject
Programming Languages / General, Programming / General, Programming / Algorithms, General
Publication Year
2024
Type
Textbook
Subject Area
Mathematics, Computers
Series
Undergraduate Topics in Computer Science Ser.
Format
Trade Paperback
Dimensions
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Edition Number
3
Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
005.1015181
Table Of Content
1. Introduction.- 2. Programming Techniques.- 3. Efficiency.- 4. Sorting and Searching.- 5. Data Structures.- 6. Dynamic Programming.- 7. Graph Algorithms.- 8. Algorithm Design Topics.- 9. Range Queries.- 10. Tree Algorithms.- 11. Mathematics.- 12. Advanced Graph Algorithms.- 13. Geometry.- 14. String Algorithms.- 15. Additional Topics.
Synopsis
This 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 Provides advice for students aiming for the IOI contest Surveys specialized algorithms for trees, and discusses the mathematical topics that are relevant in competitive programming Examines the use of the Python language in competitive programming Discusses sorting algorithms and binary search, and examines a selection of data structures of the C++ standard library Explores how GenAI will impact on the future of the field 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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