This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programm
Guide to competitive programming: learning and improving algorithms through contests
โ Scribed by Laaksonen, Antti
- Publisher
- Springer
- Year
- 2018
- Tongue
- English
- Leaves
- 286
- Series
- Undergraduate topics in computer science
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
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
โฆ Subjects
Computer programming;Computer programming--Competitions;Computer programming -- Competitions
๐ SIMILAR VOLUMES
<p><p>This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of pr
This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programm
This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programm
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
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