Write a modified version of the selection sort algorithm that selects the largest element each time and moves it to the end of the array, rather than selecting the smallest element and moving it to the beginning. Will this algorithm be faster than the standard selection sort? What will its complexity class (big-Oh) be?

Quicksort is a powerful divide-and-conquer sorting algorithm that can be described in just four lines ofpseudocode. The key to Quicksort is the PARTITION(A, p, r) procedure, which inputs elementsptorof array A,and chooses the final element x = A[r] as the pivot element. The output is an array where all elementsto the left ofxare less thanx, and all elements to the right of x are greater than x. In this question, we will use the Lomuto Partition Method from class and assume that the pivot isalwaysthe last (right-most) element of the input array. Question: Let A be an array withn= 2k−1 elements, where k is some positive integer. Determine a formula (in terms of n) for the minimum possible number of total comparisons required by Quicksort, as well as a formula for the maximum possible number of total comparisons required by Quicksort. Use your formulas to show that the running time of Quicksort is O(nlogn) in the best case and O(n2) in the worst case.

For the given quick sort algorithm example, I would like to see comments added to explain some of the functionality the algroithm is doing. Thank you

Write the algorithm which finds the second maximum value of the array. Then find the complexity of the algorithm as Big O notation