Guide to Competitive Programming, 2nd Ed (Springer)
Friday, 15 May 2020

Subtitled "Learning and Improving Algorithms Through Contests", this book looks at how competitive programming is a proven method of implementing and testing algorithms, as well as developing computational thinking and improving programming and debugging skills. Author Dr. Antti Laaksonen introduces dynamic programming and other fundamental algorithm design techniques, and investigates a wide selection of graph algorithms, as well as covering more advanced topics, such as maximum flows, Nim theory, and suffix structures. This new edition features new material on advanced topics, such as calculating Fourier transforms, finding minimum cost flows in graphs, and using automata in string problems.

<ASIN:3030393569>

 

Author: Dr. Antti Laaksonen
Publisher: Springer
Date:May 2020
Pages: 324
ISBN: 978-3030393564
Print: 3030393569
Kindle: B088CV4YLP
Audience: computer science undergraduates or developers interested in competitive programming
Level: Intermediate/Advanced
Category: Theory

guidecomp

 

  • 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++ 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
  • 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

 

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Author: Sebastian Raschka and Vahid Mirjalili
Publisher: Packt
Pages: 622
ISBN: 978-1787125933
Print: 1787125939
Kindle: B0742K7HYF
Audience: Python developers interested in machine learning
Rating: 4.8
Reviewer: Mike James
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Author: Kathy Cerceri
Publisher: Maker Media
ISBN: 9781457183638
Print: 1457183633
Kindle: B00U1VU2AQ
Audience: 4
Rating: Young makers and their parents/teachers
Reviewer: Harry Fairhead

The subtitle of this book is: Exploring Cutting-Edge Robotics with Everyday Stuff. How can " [ ... ]


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