During each iteration of Quick Sort algorithm, the first element of array is selected as a pivot. The algorithm for Quick Sort is given below. Modify it in such a way that last element of array should be selected as a pivot at each iteration. Also explain the advantages.

Q: 8 2 3 9 10 1 4 6 7 5 Show what the array looks like after each iteration of the following sorting…

A: Logic: do     swapped = false     for i = 1 to indexOfLastUnsortedElement-1      if leftElement >…

Q: Please complete all the questions together.  Use python code. Thank you in Advance. You are given…

A: Please find the answer below :

Q: Q3. This question requires you to manipulate arrays using slicing, splitting and/or array func-…

A: Code:- import numpy as np# create a 1-D array of range 1 to 20arr = np.arange(1, 21)print("1-D array…

Q: Fun with Sorting : Given the following array of numbers: 8 2 3 9 10 1 4 6 7 5 Show what the array…

A: Note: This is a multipart-based question. As per company guidelines, only the first three parts are…

Q: DESIGN YOUR OWN SETTING Task: Devise your own setting for storing and searching the data in an…

A: As per the quidelines, I would be able to provide answer for first three parts of the…

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.