Which sorting algorithm uses the most amount of space to sort a sequence on n elements? A. Selection Sort B. Insertion Sort C. Heap Sort D. Quick Sort E. Merge Sort
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- Which of the following sorting algorithm(s) is/are divide and conquer type? a. Selection sort b. Insertion sort c. Merge sort d. Bubble sortJava - Fill in the table – use Big O notation Worst Case Average Case Binary Search of Sorted Array Insertion Sort Merge Sort Quick Sort without “median of three” pivot selection Quick Sort WITH “median of three” pivot selection Selection Sort Heap SortComputer Science Trace the following sorting algorithms for the next list. 025, 001, 585, 162, 382, 500, 200, 367, 333, 568, 529 Insertion sort Bubble sort Shellsort Radix sort Merge sort Quicksort
- 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.Quick Sort is another sorting algorithm that follows a divide-and-conquer approach. The algorithm can be summarized in 3 steps: A pivot element is chosen, usually the first element. All elements smaller than the pivot are placed to the left of the pivot. This creates 2 partitions, elements greater than the pivot and elements less than the pivot. The 2 partitions are sorted using Quick Sort. Sample code in python3: def quick_sort(arr): def quick_sort_r(arr, start, end): if end - start < 2: # single element base case return # choose a pivot pivot = start # you may choose other elements store = pivot+1 # index to store less than elements # for all elements after the pivot for i in range(pivot+1, end): if arr[i] < arr[pivot]: # if element is less than pivot arr[i], arr[store] = arr[store], arr[i] # swap store += 1 # increment store index # swap pivot with last element in less than…Which one of the below uses divide and conquer approach? * a) Insertion sort b) Merge sort c) Shell sort d) Heap sort
- Which of the following algorithms is better to sort a mostly sorted data sequence? A data sequence is mostly sorted if only a handful of integers don't appear in the longest sorted subsequence. For example, the following data sequence is almost sorted since there is only one integer (0) out of place in a sorted sequence of numbers: 1, 2, 3, 4, 0, 5, 6, 7, 8, 9 Question 28 options: merge sort selection sort insertion sort quick sortThe study of computers and their uses. How can I pinpoint the exact moment when the quick sort transforms into the insertion sort? a lot of websites assert that the answer is 10, but why is that the case?Suppose the keyword sequence to be sorted is {12, 2, 16, 30, 28, 10, 16, 20, 6, 18}, give the steps that need to be taken to sort this sequence with the following algorithms: (not code algorithm) Selection sort Bubble sort Insertion sort Merge sort
- Which trail uses the following search algorithms? Bubble Sort Selection Sort Insertion Sort Merge Sort Quick Sort Heap Sort Use the moves and comparisons columns to justify each trail's search algorithm.If 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 find the following The list after a first partition call 2-The split point in the second partition callQuestion) Which of the following is NOT an O(n2) sorting algorithm? Heap Sort Bubble Sort Insertion Sort Selection Sort