Which of the following sorting strategies follows the divide-and-conquer principle? a Bubble kind. insert sort with a B. C Rapid sort. Algorithm D.
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Which of the following sorting strategies follows the divide-and-conquer principle? a Bubble kind. insert sort with a B. C Rapid sort.
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- Quick sort is a stable sorting algorithm. A. True B. FalseThis sorting algorithm checks the two adjacent values and swaps if needed. a. Bubble sort b. Shell sort c. Merge sort d. Quick sortWhich of the following is not an advantage of optimised bubble sort over other sorting techniques in case of sorted elements? a) It is faster b) Consumes less memory c) Detects whether the input is already sorted d) Consumes less time
- Which one of the following sorting methods uses Divide and Conquer approach? a. Insertion sort b. Bubble Sort c. Shell Sort d. Selection SortQ: Suppose you are given an array A of n elements. Your task is to sort n numbers stored in array A by reading the first element of A and placing it on its original position (position after sorting). Then read the second element of A, and place it on its original position. Continue in this manner for the first n-1 elements of A. What type of sorting is this? Write the algorithm and also mention the name of this sorting algorithm. What loop invariant does this algorithm maintain? Give the best-case and worst-case running times of this sorting algorithm.Which of the following is not true about Quick-sort? A. in-place algorithm B. pivot position can be changed C. adaptive sorting algorithm D. can be implemented as a stable sort
- Using c++ to write any two sorting functions (bubble sort, selection sort, or insertion sort) to sort myArray. Each function has two parameters: array myArray and size of the array N. Which sorting technique is better? And why?Q1: Suppose you are given an array A of n Your task is to sort n numbers stored in array A by reading the first element of A and placing it on its original position (position after sorting). Then read the second element of A, and place it on its original position. Continue in this manner for the first n-1 elements of A. What type of sorting is this? Write the algorithm and also mention the name of this sorting algorithm. What loop invariant does this algorithm maintain? Give the best-case and worst-case running times of this sorting algorithm.Which of the following sorting algorithms is of divide-and-conquer type? A Bubble sort. B Insertion sort. C Quick sort. D Algorithm.
- A merge sort is used to sort an array of 1000 test scores in descending order. Which of the following statements is true?a) The sort is fastest if the original test scores are sorted from smallest to largestb) The sort is fastest if the original test scores are in completely sorted order.c) The sort is fastest if the original test scores are sorted from largest to smallest.d) The sort is the same, no matter what the order of the original elements.Language: Python 3 Autocomplete Ready O 1 v import ast 3. Hybrid Sort input() lst %3D 3 lst = ast.literal_eval(lst) 4 Insertion sort is a simple sorting algorithm that builds the final sorted array one item at a time. In each iteration, insertion sort inserts an element into an already sorted list (on left). The position where the item will be inserted is found through linear search. You decided to improve insertion sort by using binary search to find the position p where the new insertion should take place. 6 print(BinaryInsertionSort(lst)) Algorithm BinarylnsertionSort Input/output: takes an integer array a = {a[0], ..., a[n – 1]} of size n begin BinarylnsertionSort for i =1 to n val = a[i] p = BinarySearch(a, val, 0, i – 1) for j = i-1 to p a[j + 1]= a[i] j= j-1 end for a[p] = val i i+1 end for end BinarylnsertionSort Here, val = a[i] is the current value to be inserted at each step i into the already sorted part a[0], ..., ați – 1] of the array a. The binary search along that part…Merge sort uses which of the following technique to implement sorting? Select one: a. greedy algorithm b. dynamic programming c. divide and conquer d. backtracking