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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 majors to gain deeper understanding of data
structure. Based on successful experiences in many world-level
contests, the book includes 204 typical problems and detailed
analyses selected from the ACM International Collegiate Programming
Contest and other major programming contests since 1990. It is
divided into four sections that focus on: Fundamental programming
skills Experiments for linear lists Experiments for trees
Experiments for graphs Each chapter contains a set of problems and
includes hints. The book also provides test data for most problems
as well as sources and IDs for online judgments that help with
improving programming skills. Introducing a multi-options model and
considerations of context, Data Structure Practice for Collegiate
Programming Contests and Education encourages students to think
creatively in solving programming problems. By taking readers
through practical contest problems from analysis to implementation,
it provides a complete source for enhancing understanding and
polishing skills in programming.
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.
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 majors to gain deeper understanding of data
structure. Based on successful experiences in many world-level
contests, the book includes 204 typical problems and detailed
analyses selected from the ACM International Collegiate Programming
Contest and other major programming contests since 1990. It is
divided into four sections that focus on: Fundamental programming
skills Experiments for linear lists Experiments for trees
Experiments for graphs Each chapter contains a set of problems and
includes hints. The book also provides test data for most problems
as well as sources and IDs for online judgments that help with
improving programming skills. Introducing a multi-options model and
considerations of context, Data Structure Practice for Collegiate
Programming Contests and Education encourages students to think
creatively in solving programming problems. By taking readers
through practical contest problems from analysis to implementation,
it provides a complete source for enhancing understanding and
polishing skills in programming.
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