When sorting n records, Merge Sort has worst-case running time O(log n) O O(n log n)...

Question

Question

Answer 1

Answer #1

Merge sort always takes O(n log n) time. In best case in worst case and as well in average case.

Answer 2

Similar Homework Help Questions

When sorting n records, Merge sort has worst-case running time a. O(n log n) b. O(n)...

When sorting n records, Merge sort has worst-case running time a. O(n log n) b. O(n) c. O(log n) d. O(n^2)
Insertion sort on small arrays in merge sort Although merge-sort runs in Θ(n log n) worst-case...

Insertion sort on small arrays in merge sort Although merge-sort runs in Θ(n log n) worst-case time and insertion sort runs in Θ(n 2 ) worst-case time, the constant factors in insertion sort can make it faster in practice for small problem sizes on many machines. Thus, it makes sense to coarsen the leaves of the recursion by using insertion sort within merge sort when subproblems become sufficiently small. Consider a modification to merge sort in which n/k sublists of...
Give an algorithm with the following properties. • Worst case running time of O(n 2 log(n))....

Give an algorithm with the following properties. • Worst case running time of O(n 2 log(n)). • Average running time of Θ(n). • Best case running time of Ω(1).

In the worst case, the very best that a comparison based sorting algorithm can do when...

In the worst case, the very best that a comparison based sorting algorithm can do when sorting n records is Q (n^2) Q(log (n!)) (log n) O Q (n)
In the worst case, the very best that a comparison based sorting algorithm can do when...

In the worst case, the very best that a comparison based sorting algorithm can do when sorting n records is 2 (n^2) (log (n!)) (logn) (n)
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...

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...

Canvas →XC 6 D Question 10 5 pts When sorting n records, Quicksort has worst-case cost...

Canvas →XC 6 D Question 10 5 pts When sorting n records, Quicksort has worst-case cost On) On 2) On logn) Olm Question 11 5 pts In the worst case, the very best that a comparison based sorting algorithm can do when sorting n records is On 2) Allog in! (n) (login) Question 12 5 pts An AVL tree is a Binary Search Tree that has the following additional property none of the above for every node in the tree....
not A Question 5 In the worst case, the very best that a comparison based sorting...

not A Question 5 In the worst case, the very best that a comparison based sorting algorithm can do when sorting n records is Q (n^2) Q(log (n!)) Q (logn) (n)
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? Ex...

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...

C++ Question 9 5 pts Deleting the minimum element in a min-heap of N elements takes...

C++ Question 9 5 pts Deleting the minimum element in a min-heap of N elements takes in average case O(N log N) O(1) O(N) Oſlog N) D Question 10 5 pts The time taken to find an element in an AVL tree of depth d is Old) 02) Oſlog d) Old log d) Question 11 5 pts Secondary clustering in a hash table occurs when using Linear probing Separate chaining Quadratic probing Double hashing Question 12 5 pts When sorting...