Assuming that quick sort algorithm presented selects the first element in the list as the pivot. (A)  Give a list of n items (for example, an array of 10 integers) representing a scenario. (B)  Give a list of n items (for example, an array of 10 integers) representing the worst-case scenario. (C)  Give a list of n items (for example, an array of 10 integers) representing the best-case scenario.

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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.