Consider the following list: 90 8 7 56 123 235 9 1 653 Show a trace of execution for: selection sort insertion sort bubble sort quick sort merge sort
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Q: Given the following list: 90 8 7 56 123 235 9 1 653 Show a trace of execution for the…
A: Given the following list: 90 8 7 56 123 235 9 1 653 1 . Selection Sort: Every time the smallest…
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A: 99 88 80 73 65 32 50 12 34 20 You didn't inform that we have to do it in ascending order or…
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Q: 1. Insertion Sort 46 2. Selection Sort 46 Merge Sort 38 38 46 38 52 52 52 39 39 39 14 14 14
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A: The heap procedure calls itself recursively to build a heap in a top-down manner.
Consider the following list:
90 8 7 56 123 235 9 1 653
Show a trace of execution for:
selection sort
insertion sort
bubble sort
quick sort
merge sort
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- Selection sort Insertion sort Shell sort Quicksort Merge sort Radix sort Can someone explain how these sorts work using arrays?A list is sorted from smallest to largest when a sort algorithm is called. which of the following sorts would take the longest time to execute, & which would take the shortest time?a) Quick Sort, with the first element used as the split valueb) Sort Bubblec) Selection Sort d) Heap Sort e) Insertion Sortf) Merge SortQuick 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…
- Java - 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 SortA list of n dates of birth (specified in the format 17801229) should be sorted. Assume that n is a large number (> 400) and that there may be duplicates. Which of the following algorithms is most suitable to choose? Countingsort Heapsort Mergesort Quicksort Insertionsort RadixsortIn Bubble Sort Ascending Order Show the step by step process on how sorting was done such as first passed, second passed, etc. Please the details in the file. Thank you
- Describe the following list methods:a. indexb. insertc. sortd. reverseThis sorting algorithm checks the two adjacent values and swaps if needed. a. Bubble sort b. Shell sort c. Merge sort d. Quick sortIf 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 1.The split point in the second partition call.
- 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 callWhat is the maximum number of swaps that can be performed in the Selection Sort algorithm? A. n - 1 B. n C. 1 D. n - 2Assume the following list of 16 keys:18, 40, 16, 82, 64, 67, 57, 50, 37, 47, 72, 14, 17, 27, 35, 20 This list is to be sorted using Merge Sort, the number of recursive levels required to finish dividing steps this list is: 4 8 16 3
