Option B
Log(n!) Is almost equal to nlogn. The merge sort is the best one in sorting.since they're asking the worst case to the best case it is option B.
not A Question 5 In the worst case, the very best that a comparison based sorting...
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)
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)
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....
C++ Question 1 5 pts A binary heap's structure is an AVL tree a complete binary tree a particular case of binary search tree a sparse tree Question 2 5 pts When using a hash table with quadratic probing, and the table size is prime, then a new element can always be inserted if the table is at least half empty the table is full the table is at least half full the table is larger than any data value...
Find the best case, worst case and average case complexity for numbers of comparison and assignment operations for the following code. Indicate when there is no best or worst case. Comparisons Assignments Given 2-D array of integer map[n][n]: Best: Best: worst: worst: for (i0; 1 <n; i++) for(j = 0j <n; j++) If (map 10] < 0) map[001-mapli01: average: average: For ease of analysis, assume half of the elements in map are negative.
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)
When sorting n records, Merge Sort has worst-case running time O(log n) O O(n log n) O O(n) O(n^2)
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...
(f) True False Comparison-based sorting methods h e Comparison-based sorting methods have a lower bound of O(n logn) on their running time. (8) True False A vertex cover of a graph is a set of edges that touch every verte (h) True False We can find the largest independent set of a graph in polynomial time. (i) True False We can prove that P PSPACE. (j) True False We can reduce SAT to 3-SAT, and 3-SAT to SAT. (k) True...
(5 marks; questions to Reza) In Lecture 5, Travis said you can prove QuickSort takes N(n log n) time in the best case the same way he proved any comparison-based sorting algorithm takes (n log n) time in the worst case. Give that proof. Notice it doesn't follow directly: e.g., Insertion Sort takes O(n) time in the best case. You can assume QuickSort divides each array into elements less than or equal to the pivot (including the pivot itself) and...