What is the (worst case) time complexity of the following find function, which searches for a key in a list. As usual, you should give an answer that is a function of n = the input size = length of input list 1. You can assume the unit of work is the number of times the findHelper subroutine is called. find (key, list) { findHelper(list, index) { if (length(list) return -1 if (head(list) == key) return index findHelper(tail(list), index + 1) findHelper (key, 1, 0) (Recall, head(list) returns the first element of list and tail(list) returns the rest of list --i.e., all elements except the first.) O O(lg n) O 0(n lg n) (u)o O(n!) O(2")

What is the (worst case) time complexity of the following find function, which searches for a key in a list. As usual, you should give an answer that is a function of n = the input size = length of input list 1. You can assume the unit of work is the number of times the findHelper subroutine is called. find (key, list) { findHelper(list, index) { if (length(list) return -1 if (head(list) == key) return index findHelper(tail(list), index + 1) findHelper (key, 1, 0) (Recall, head(list) returns the first element of list and tail(list) returns the rest of list --i.e., all elements except the first.) O O(lg n) O 0(n lg n) (u)o O(n!) O(2")

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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