Six, the starting permutation position of the items to be sorted determines the number of comparisons needed by any sorting method. 7 When the information to be sorted is not strictly ordered, bubble sort performs better than quick sort.

Quick sort is the quickest and utilizes the least auxiliary storage space of all sorting algorithms.

6 All sorting algorithms require a certain number of comparisons, which is determined by the initial permutation position of the elements to be sorted. 7 Bubble sort is more efficient than rapid sort when the data is loosely ordered?

Big-O Solving (PYTHON) Question: Does the choice of the pivot affect the running time of quick sort? Why or why not? It would help if you could provide examples or illustrations. Given ONLY: Quick Sort is another sorting algorithm that follows a divide-and-conquer approach. The algorithm can be summarized in 3 steps: A pivot element is chosen, usually the first element. All elements smaller than the pivot are placed to the left of the pivot. This creates 2 partitions, elements greater than the pivot and elements less than the pivot. The 2 partitions are sorted using Quick Sort. Sample code in python3:    def quick_sort(arr):     def quick_sort_r(arr, start, end):       if end - start < 2:         # single element base case         return       # choose a pivot       pivot = start # you may choose other elements       store = pivot+1 # index to store less than elements       # for all elements after the pivot       for i in range(pivot+1, end):         if arr[i] < arr[pivot]:…