Data Structure Practice


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Data Structure Practice


Data Structure Practice

Author: Yonghui Wu

language: en

Publisher: CRC Press

Release Date: 2016-02-22


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Combining knowledge with strategies, Data Structure Practice for Collegiate Programming Contests and Education presents the first comprehensive book on data structure in programming contests. This book is designed for training collegiate programming contest teams in the nuances of data structure and for helping college students in computer-related

Data Structures Practice Problems for C++ Beginners


Data Structures Practice Problems for C++ Beginners

Author: Kung-Hua Chang

language: en

Publisher: Simple & Example

Release Date: 2017-01-17


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This book is for C++ beginners looking for practice problems to ease the learning curve of the principles of object-oriented programming, fundamental data structures, and generic programming. This book provides 150+ practice problems about the principles of Object-Oriented Programming, Linked Lists, Stacks, Queues, Recursion, Trees, Graphs, Hash Tables, Algorithmic Efficiency, Sorting Algorithms, Heaps, and Generic Programming with C++ STL and Templates.

Algorithm Design Practice for Collegiate Programming Contests and Education


Algorithm Design Practice for Collegiate Programming Contests and Education

Author: Yonghui Wu

language: en

Publisher: CRC Press

Release Date: 2018-11-15


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This book can be used as an experiment and reference book for algorithm design courses, as well as a training manual for programming contests. It contains 247 problems selected from ACM-ICPC programming contests and other programming contests. There's detailed analysis for each problem. All problems, and test datum for most of problems will be provided online. The content will follow usual algorithms syllabus, and problem-solving strategies will be introduced in analyses and solutions to problem cases. For students in computer-related majors, contestants and programmers, this book can polish their programming and problem-solving skills with familarity of algorithms and mathematics.