def func1(num_1st): count = 0 for x in range (len (num_1st)): for y in range (len (num_1st)): for z in range(3): count += x*y*z return count

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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For each of the following functions, use big-O notation to give a tight bound on the runtime in
terms of n, the number of elements in num_Ist. You can assume that the length of a list can be
computed in constant time (that is, the len() operation is O(1) - the amount of time required
to compute the length is the same no matter how big the list is).

def func1(num_1st):
count = 0
for x in range (len (num_1st)):
for y in range (len (num_1st)):
for z in range(3):
count += x*y*z
return count
O 0(1)
○ O(lg(n))
O O(n)
O O(n *lg(n))
O O(n²)
0 0(n³)
O 0(2")
Transcribed Image Text:def func1(num_1st): count = 0 for x in range (len (num_1st)): for y in range (len (num_1st)): for z in range(3): count += x*y*z return count O 0(1) ○ O(lg(n)) O O(n) O O(n *lg(n)) O O(n²) 0 0(n³) O 0(2")
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