For the following block of code, select the most appropriate run-time formula in terms of primitive operations needed and the time complexity for input of size n: def rate(n): i = 0 total = 0 while i < n: j = 10 while j > 0: total += j j -- 1 i += 1 return total
For the following block of code, select the most appropriate run-time formula in terms of primitive operations needed and the time complexity for input of size n: def rate(n): i = 0 total = 0 while i < n: j = 10 while j > 0: total += j j -- 1 i += 1 return total
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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
Transcribed Image Text:For the following block of code, select the most appropriate run-time formula in terms
of primitive operations needed and the time complexity for input of size n:
def rate(n):
i = 0
total = 0
while i < n:
j = 10
while j > 0:
total
j
i -= 1
i += 1
return total
O a. f(n) = 34n^2 + 4, time complexity = O(n^2)
O b. f(n) = 3n^2 + 4n + 4, time complexity = O(n^2)
O c. f(n)
= 34n + 4, time complexity = O(n)
O d. f(n)
= 3n + 14, time complexity = O(n)
Check
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