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Competitive Programmer’s Handbook

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.

An algorithm for solving a problem has to be both correct and efficient, and the core of the problem is often about inventing an efficient algorithm. 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.

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