Running Time Analysis: Give the tightest possible upper bound for the worst case running time for each of the following in terms of N. You MUST choose your answer from the following (not given in any particular order), each of which could be reused (could be the answer for more than one of a) – f)): O(N2), O(N½)O(N3 log N), O(N log N), O(N), O(N2 log N), O(N5), O(2N), O(N3), O(log N), O(1), O(N4), O(N12)O(NN), O(N6), O(N8), O(N9) **For any credit, you must explain your answer. Assume that the most time-efficient implementation is used. Assume no duplicate values and that you can implement the operation as a member function of the class – with access to the underlying data structure. a) Pop a value off a stack containing N elements implemented as an array. Explanation:   b) Printing out all the odd values stored in a binary search tree containing N positive integers in ascending order. Explanation:   c) Finding the minimum value in a binary search tree of size N. Explanation:

C++ Programming: From Problem Analysis to Program Design
8th Edition
ISBN:9781337102087
Author:D. S. Malik
Publisher:D. S. Malik
Chapter15: Recursion
Section: Chapter Questions
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Running Time Analysis: Give the tightest possible upper bound for the worst
case
running time for each of the following in terms of N. You MUST choose your
answer from the following (not given in any particular order), each of which could be reused (could be the answer for more than one of a) – f)):
O(N2), O(N½)O(N3 log N), O(N log N), O(N), O(N2 log N), O(N5), O(2N), O(N3),
O(log N), O(1), O(N4), O(N12)O(NN), O(N6), O(N8), O(N9)
**For any credit, you must explain your answer. Assume that the most time-efficient
implementation is used.
Assume no duplicate values and that you can implement the
operation as a member function of the class – with access to the underlying data structure.

  1. a) Pop a value off a stack containing N elements implemented as an array.
    Explanation:

 

  1. b) Printing out all the odd values stored in a binary search tree containing N positive
    integers in ascending order.

Explanation:

 

  1. c) Finding the minimum value in a binary search tree of size N. Explanation:
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