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How do I optimize sorting algorithms in competitive programming?
Choose efficient algorithms like quicksort or mergesort, and take advantage of built-in sorting functions.
Sorting is a common task in competitive programming, and optimizing sorting can significantly reduce time complexity. The most commonly used sorting algorithms in competitive programming are quicksort and mergesort, both of which have O(n log n) time complexity. In some cases, you can use built-in sorting functions provided by the programming language, which are usually highly optimized for general cases. Understanding when to use specialized sorting algorithms, such as counting sort or radix sort for specific types of data, can give you an edge. Additionally, sorting small or partially sorted arrays using insertion sort can also improve efficiency in specific cases.
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Why do I see 'Username not recognized' when authenticating GitHub via command line?
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What are some effective strategies for problem analysis in competitive programming?
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How can I prepare for dynamic programming (DP) problems in competitive programming?
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What are some strategies for reducing runtime in competitive programming solutions?
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What is the two-pointer technique and how is it applied in competitive programming?
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What is dynamic programming, and how can it be applied in competitive programming?
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