The worst-case scenario for the fast sort algorithm occurs when each partition consists of a single empty subarray, all partitions are of equal size, and the selection of the pivot element is indeterminate. Are the elements in the initial array completely randomized?

Q: Igorithm takes O(r narray. A modified ed with an extra fl: ted, then the extra

A:

Q: The someSort function shown in an earlier question runs faster if the input array is already sorted.…

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Q: The worst case situation for quick sort is when

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Counting sort

The counting sort algorithm sorts an array’s contents by counting the repetition of each element that occurs in the array. A counting sort algorithm is a stable algorithm that works the best when the range of elements in the array is small, say for example from 0 to 9. The count which is the number of repetitions of an element in the array is mapped to an index of an auxiliary array, which is then saved in an auxiliary array. The counting sort algorithm has a stable time complexity of the order of O(size of array + size of auxiliary array). Let’s discuss the algorithm in detail as follows.