Suppose you have a file with 10000 pages and you have three buffer pages. If a most general external merge sort algorithm is used, how many runs will you produce in the first pass (pass 0)?
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- 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 89A. Can you draw the animation of Merge sort: given an unsorted array of size 10, show the divide andconquer techniqueb. What is Running time for Merge Sort: O(nlogn) such that n is the size of thearray: Reference code attachedT/F: Both Merge Sort and Quick Sort have a worst case runtime of O(n log n).
- Quick Sort is used for most default sorting functions. Why is QuickSort the preferred algorithm when something like MergeSort has better/more predicatable run time?Suppose you have a file with 10000 pages and you have three buffer pages. If a most general external merge sort algorithm is used, how many runs will you produce in the first pass (pass 0)? Group of answer choices 3 100 3333 3334 10000If the list has the following items 17 9 11 30 8 20 35 7 5 45 3 28 Apply the quick sort on the above list by using the pivot is always the left item and if The list after a first partition call is 7 9 11 3 8 5 17 20 35 40 30 28 (17 is the pivot correct position) , find The split point in the second partition call?
- C# Scenario: You have a collection of 100 RANDOMIZED integers. Your program has a method called Find, which has one parameter, an integer value to search for. Of the options below, what would be the best strategy to maintain efficiency? 1. Binary Sort 2. Linear Search 3. Sort the Data using a Merge Sort, then use Binary SearchWhich one of the following statements is wrong? O Quick sort is as efficient as merge sort in average case. O A better pivot selection strategy will reduce the chance of hitting the worst case. O Quick sort is worse than merge sort in terms of space efficiency. O Quick sort's efficiency depends on the quality of partition.Suppose you have a file with 10000 pages and you have three buffer pages. If a most general external merge sort algorithm is used, how many runs will you produce in the first pass (pass 0)? 3334 3333 10000 3 100 Refer to the previous question. How many passes will it take to sort the file completely?
- Given this array containing characters: Data M B A L J Z K C Ꭰ X Index 0 1 2 3 4 5 6 7 8 9 What does the list look like after one full run of the quick sort partitioning method, where the pivot is the low index value? Enter your answer with a space between each character, without commas. AWhich one of the following statements is wrong? O Merge sort takes O(nlogn) to finish in the worst case. Quick sort has the worst case when it always-split the array in the middle. O Quick sort is in-place O Quick sort has a worst case efficiency of O(n²)What is the process to create an explicit bigO calculator for selection sort, insertion sort merge sort, and quicksort? Java. AP Computer Science A. One class. There is supposed to be four original lists, which is a random list of numbers from 1-10 with 10 items, these lists will be used by the four sorts. There should be the sorted list for those original lists from each sort method. There should be an amount of comparisons for each sort. Also there should be bigO information, the best case, average case, worst case, the nlog2n, the n^2, sorting 10 lists from the sort methods of n increasing. Thank you. What the output can look like: