he following code:
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
Related questions
Question
need to choose some correct answers.
![Consider the following code:
def g(1st):
n = len(1st)
for i in range(n):
for j in range(i+1,n):
if 1st[i] == 1st[j]:
return True
return False
Which of these is a Big Theta bound on the worst case running time of g(lst), where n is the length
of the list?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F951c6e99-c785-4ffc-a421-a2fa6db17aa1%2F7babfd8d-319a-4ee0-84e7-f94d91414876%2Fwzhz3m_processed.png&w=3840&q=75)
Transcribed Image Text:Consider the following code:
def g(1st):
n = len(1st)
for i in range(n):
for j in range(i+1,n):
if 1st[i] == 1st[j]:
return True
return False
Which of these is a Big Theta bound on the worst case running time of g(lst), where n is the length
of the list?

Transcribed Image Text:n
n log n
n(n-1)/2
n^2
n^n
There is no big Theta bound for the worst case of this code.
Expert Solution

Worst case complexity
The worst case time complexity is defined as the maximum time algorithm will take. It is represented by big theta. It is also called as the upper bound for an algorithm.
From the above graph we can say, g(n) = O(f(n))
as g(n)<= c(f(n) after point n0.
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