Identify the comparisons and the exchanges made to sort the array using the bubble sort technique Given the following array: 23 45 13 5 56 74 10 30 65 40

Q: You are using the Insertion Sort algorithm on the following array: 0 6 7 8 3 3 46 5 1) 0 2) 0 3) 0…

A: We need to answer questions based on insertion sort algorithm.

Q: Using the bubble sort algorithm to sort the array {3, 1, 5, 0} answer (a) how many comparisons are…

A: Bubble sort is a simple comparison-based sorting algorithm that repeatedly steps through the list to…

Q: Show how the Radix Sort algorithm sorts the array: 2 14 27 12 31 17 5

A: Radix Sort Radix sort is an arranging calculation that sorts the components by first gathering the…

Q: How many comparsions would be needed for merge sort algorithm for these 3 types of arrays and all of…

A: The number of comparisons is 6*log26 - 5

Q: Using the array shown below in the picture, show all the steps needed to sort the array. To sort the…

A:

Q: Given the array declaration below, list the steps that an Insertion Sort function would perform in…

A: We need to list the steps that an Insertion Sort function would perform in sorting the array. for…

Q: Trace the exchange sort, selection sort, bubble sort, insertion sort and merge sort as they sort the…

A: Sort array into ascending order using different sort trace the exchange sort, selection sort and…

Q: Can you please show me the steps of sorting this integer array using counting sort

A: The final sorted array using counting sort is [0, 1, 1, 3, 4, 5, 6, 6, 6, 7, 7, 8, 8, 12, 12, 12].…

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.