Sorting Algorithms? What is their complexity?

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Accepted Answer

Sorting algorithms are used to arrange data in a specific order. Their complexity varies based on the algorithm used.

Sorting algorithms include bubble sort, insertion sort, selection sort, merge sort, quick sort, and heap sort.
The complexity of sorting algorithms is measured in terms of time complexity and space complexity.
Time complexity refers to the amount of time it takes for an algorithm to complete its task, while space complexity refers to the amount of memory required to execute the algorithm.
Some sorting algorithms have a worst-case time complexity of O(n^2), while others have a worst-case time complexity of O(n log n).
Examples of sorting algorithms with O(n^2) time complexity include bubble sort, insertion sort, and selection sort.
Examples of sorting algorithms with O(n log n) time complexity include merge sort, quick sort, and heap sort.

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