Which of the following are possible lists after 3 passes of a sorting function based on insertion sort? Select all that apply. O 1, 3, 2, 7, 4, 5, 8, 6] O 12, 3, 5, 7, 4, 1, 8, 6] O (4, 2, 5, 1, 6, 3, 7, 8] O (2, 5, 3, 7, 4, 1, 6, 8] O 1, 3, 5, 7, 2, 4, 6, 8] O (2, 3, 1, 5, 7, 4, 8, 6]
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- Which of the following are possible lists after 3 passes of a sorting function based on insertion sort? Select all that apply. O l'h, 'e', 'c', 'g, 'b' 'd; 'f, 'a'] O ('h, 'e', 'f, 'g, 'b' 'c', 'd', 'a'] O l'a', 'c', 'b, 'g', 'e', 'f, 'd', 'h'] O (C, 'e', 'h' 'g, 'b' 'd; 'f, 'a'] O la, 'e, 'c, 'd', 'b, 'g, 'f, 'h'] O ('h; 'g, 'd', 'e' 'f, 'c', 'a', 'b'] O l'h', 'c', 'e', 'g', 'b', 'd; 'f, 'a'] O l'h, 'g, 'c, 'e, 'b; 'a', 'd', 'f]Which of the following are possible lists after 3 passes of a sorting function based on selection sort? Select all that apply. O [c, 'g 'h, 'e, 'b, 'a, 'd, 'f] O th, 'g. 'c, 'e, b, 'a, 'd', 'f] O Ch, 'g, 'c, 'e, b, 'f, 'd', 'a'] O [a, 'b, 'c, 'g, 'e, 'd, 'f, 'h'] O l'a, 'e', 'c', 'd', 'b', 'f, 'g, 'h'] O [C, 'e, 'h, 'g, 'b, 'd', 'f, 'a'] O l'h, 'e', 'd, 'g, 'f, c, 'b, 'a] O 'h, 'e, 'c, 'g, 'b', 'd, 'f, 'a']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.
- (a) Consider the following list, which is sorted by quick sort: 18, 40, 16, 82, 64, 67, 57, 50, 37, 47, 72, 14, 17, 27, 35 Use pivot as the median of the first, last, and middle elements of the list. i. What is the pivot? (03) ii. Give the resulting list after one call to the partition procedure. (06) (b) Consider the following list, which is sorted by insertion sort for array-based lists: 28, 18, 21, 10, 25, 30, 12, 71, 32, 58, 15 Show the resulting list after six passes of the sorting phase—that is, after six iterations of the for_loop. (Subject :Data stracture and algorithm )Use Figure 7.11 as an example to show how to apply the selection-sort approach to sort {3.4, 5, 3, 3.5, 2.2, 1.9, 2}.Using Java, 1. Implement external sort: for sort phase use normal sort, for merge phase use two way merge to merge n sorted files (merge2way(n)), for array sort use heapsort. Also write merge(f1, f2, f3) to merge two sorted files f1 and f2 into f3.. Write mergenway(n) method and print execution time of both merges for initial input file over 10MB data. A sample input is as follow:Note:Fist input is max array size for sort 10 84 82 52 80 96 85 75 75 82 87 92 89 57 94 93 92 63 99 87 72 73 56 74 50 84 62 72 55 86 75 74 100 83 60 53 68 89 67 66 65 72 94 73 54 98 96 85 75 75 82 87 92 89
- Please help me quickly I will vote your answerUsing the C language, Write a program that to perform an insertion sort for the following array. Please provide the time complexity of the insertion sort. 4 12 7 8 2 5 15 Use the same array to write a program using merge sort and provide a time complexity of merge sortPls. answer the 2 questions. write a short explanation each.
- Please do it in pythoni. In Block 2 Part 6, you saw that selection sort requires about (n-1)²/2 comparisons to sort a list of length n. In fact, the exact number of comparisons required by selection sort to sort a list of length n is nx (n-1)/ 2. Use this formula to calculate the total number of comparisons required to sort two lists each of length 100. ii. Once the two lists have been sorted, they need to be merged. Suggest a reason why the maximum number of comparisons required to merge two lists, each of length 100, is 199. iii. Hence, find the maximum total number of comparisons required to sort two lists of length 100 using Strategy B.Bubble sort the following numbers. 6,40,20,15,8,17,2,19,15