=>bubble sort is always in n square. If we don't consider the optimal .
=>quick sort has nlogn and n square in best and worst case.
=>in worst case both run in n square so no is the answer.
=>in average case quick sort runs faster than bubble so the answer is yes.
=>the minimum number of comparisons required is (3n/2)-2 =>3*8/2-2 the minimum number of comparisons required are 10 so the answer is no for both.
Yes No No Yes Quicksort is asymptotically faster than bubblesort - a. In the worst case...
QuickSort is asymotivaly faster than bubblsort
Quicksort is asymptotically faster than bubblesort In the worst case On average b. Quicksort is asymptotically slower than mergesort In the worst case On average c) To sort 8 numbers it is necessary to make at least 16 comparisons 17 comparisons 18 comparisons d) To find 2 heavier coins among 14 same coins using lever scales it is necessary to make at least 4 comparisons 5 comparisons e) To find 2 heavier coins among...
Worst-case complexity of quicksort is similar to the every-case complexity of exchange sort. Average-case time complexity of quicksort is as good as worst-case time complexity of mergesort. Similar to quicksort, mergesort uses a pivot to partition the input array. Select one: True False
Data Structure Question. I need help solving this question. I know quicksort has the worst case of O(n^2) if it is implemented choosing the pivot as the first element. A[1] is the first element here. Please justify why the number of comparison is the smallest possible number assuming the array ensures that. And give an example of that type of an array. Thank you thumbs up will be given for correct and justified answer! qs(A): if A has at most...
solve 3
that tells how many swaps are done in the worst case given n elements Consider this modification of the partition algorithm. Randomly choose three potential pivots. Partition around the median of the three pivots 3. a) Write the pseudocode for this algorithm b) If this use the quicksort algorithm, what is the running time for the worst-case scenario? When will this happen? c) Why is this algorithm better than the regular quicksort algorithm? 4. Give the pseudocode of...
please I need it urgent thanks algorithms
2.1 Searching and Sorting- 5 points each 3. What is the worst case for quick sort? What is the worst case time com- plexity for quick sort and why? Explain what modifications we can make to quick sort to make it run faster, and why this helps. 4. Give pseudocode for an algorithm that will solve the following problem. Given an array AlL..n) that contains every number between 1 and n +1 in...
Which are true of Selection Sort? please explain Multiple answers:You can select more than one option A) It uses Θ(n^2) comparisons in the worst case B) It uses Θ(n^2) comparisons in the average case C) It uses Θ(n^2) comparisons in the best case D) It uses Θ(n^2) swaps in the worst case E) It uses Θ(n^2) swaps in the average case F) It uses Θ(n^2) swaps in the best case
2.1 Searching and Sorting- 5 points each 1. Run Heapsort on the following array: A (7,3, 9, 4, 2,5, 6, 1,8) 2. Run merge sort on the same array. 3. What is the worst case for quick sort? What is the worst case time com- plexity for quick sort and why? Explain what modifications we can make to quick sort to make it run faster, and why this helps. 4. Gi pseudocode for an algorithm that will solve the following...
Question 4 (10 marks) When analysing the complexity of algorithms, there are three main approaches: worst case, best case and average case. As an example, consider measuring the complexity of list-merging by counting the number of comparisons used As a test example, assume the following A1: There are two ordered lists, each of length 4, say A2: Neither list contains repeats, so a! < a2 < аз < a4 and bl <b2 < b3 < b4 A3: The lists are...
Inal Examination 17. Which of the sorting algorithms listed below has the time fastest best case run (a) Heap sort (b) Merge sort (c) Quick sort (d) Insertion sort 18. Which statement below is false: (a) Quick uick sort and merge sort are divide and conquer algorithte (b) Counting sort is a linear time sorting algorithm. (e) Insertion sort and quicksort have similar best case (d) Generic minimum spanning tree algorithm is 19. Counting sort and radix sort are linked...
[Code in C] Help me with this. Not sure what to do.
1 Couting Sort You may have learned some sorting algorithms - such as bubble sort ad quicksort in CS 110 and CS 210. This homework is about counting sort. Let n be the number of elements to be sorted. Bubble sort and quicksort assume tha time, which one is larger and which one is smaller. They make no assumption on the values of the elements t we can...