The worst case time complexity of merge sort is heap sort is selection sort is and of insertion sort is So according to time complexity, sort & sort are the best, however sort is best between the two when we consider space complexity. O(nlogn), O(nlogn), O(n), O(n^2), merge, heap, heap O(logn), Ollogn), O(n), O(n), merge, heap, merge O O(nlogn), O(nlogn), O(n^2), O(n^2), merge, heap, merge O(nlogn), O(nlogn), O(n), O(n^2), merge, heap, merge O O(logn), O(logn), O(n), O(n), merge, heap, heap O O(nlogn), O(nlogn). O(n^2), O(n^2), merge, heap, heap O(logn), O(logn), O(nlogn), O(nlogn), merge, heap, merge O(logn), O(logn), O(nlogn), O(nlogn), merge, heap, merge

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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The worst case time complexity of merge sort is heap sort is
selection sort is
and of insertion sort is So according to time complexity,.
sort & sort are
the best, however sort is best between the two when we consider space complexity.
O Olnlogn), O(nlogn), O(n), O(n^2), merge, heap, heap
O(logn), O(logn), O(n), O(n), merge, heap, merge
O O(nlogn), O(nlogn), O(n^2), O(n^2)., merge, heap, merge
O O(nlogn), O(nlogn), O(n), O(n^2), merge, heap, merge
O Ologn), O(logn), O(n), O(n), merge, heap, heap
O Olnlogn), O(nlogn), O(n^2), O(n^2), merge, heap, heap
O Ologn), O(logn), O(nlogn), O(nlogn), merge, heap, merge
O Ologn), O(logn), O(nlogn), O(nlogn), merge, heap, merge
Transcribed Image Text:The worst case time complexity of merge sort is heap sort is selection sort is and of insertion sort is So according to time complexity,. sort & sort are the best, however sort is best between the two when we consider space complexity. O Olnlogn), O(nlogn), O(n), O(n^2), merge, heap, heap O(logn), O(logn), O(n), O(n), merge, heap, merge O O(nlogn), O(nlogn), O(n^2), O(n^2)., merge, heap, merge O O(nlogn), O(nlogn), O(n), O(n^2), merge, heap, merge O Ologn), O(logn), O(n), O(n), merge, heap, heap O Olnlogn), O(nlogn), O(n^2), O(n^2), merge, heap, heap O Ologn), O(logn), O(nlogn), O(nlogn), merge, heap, merge O Ologn), O(logn), O(nlogn), O(nlogn), merge, heap, merge
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