Sorting Algorithms Questions Medium
The time complexity of the insertion sort algorithm is O(n^2), where n represents the number of elements in the array being sorted. This means that the time taken by the algorithm to sort the array increases quadratically with the number of elements. In the worst-case scenario, where the array is in reverse order, the algorithm will require the maximum number of comparisons and swaps, resulting in the highest time complexity. However, in the best-case scenario, where the array is already sorted, the time complexity reduces to O(n), as the algorithm only needs to make a single pass through the array to confirm that it is sorted.