There is a variation of the bubble sort algorithm called a gap sort that, rather than comparing neighboring elements each time through the list, compares elements that are some number i positions apart, where i is an integer less than n. For example, the first element would be compared to the (i + 1) element, the second element would be compared to the (i + 2) element, the nth element would be compared to the (n - i) element, and so on. A single iteration is completed when all of the elements that can be compared, have been compared. On the next iteration, i is reduced by some number greater than 1 and the process continues until i is less than 1. Implement a gap sort.

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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.