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Competitive Programmer’s Handbook - USACO Guide

Competitive Programmer s HandbookAntti LaaksonenDraft August 19, 2019iiContentsPrefaceixI Basic techniques11 Programming languages .. Input and output .. Working with numbers .. Shortening code .. Mathematics .. Contests and resources ..152 Time Calculation rules .. Complexity classes .. Estimating efficiency .. Maximum subarray sum ..213 Sorting theory .. Sorting in C++ .. Binary search ..314 Data Dynamic arrays .. Set structures .. Map structures .. Iterators and ranges .. Other structures .. Comparison to sorting ..445 Complete Generating subsets .. Generating permutations .. Backtracking .. Pruning the search .. Meet in the middle ..54iii6 Greedy Coin problem .. Scheduling .. Tasks and deadlines .. Minimizing sums .. Data compression ..627 Dynamic Coin problem.

Theoretical knowledge of algorithms is important to competitive programmers. Typically, a solution to a problem is a combination of well-known techniques and new insights. The techniques that appear in competitive programming also form the basis for the scientific research of algorithms. The implementation of algorithms requires good ...

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