Determine a function T(n) that relates input sizen to number of runtime steps and the Big-O Time complexity for this T(n): Example only: T(n) = an^2 +k Complexity = O(n) def f6(n): for i_1 in range(n): for i 2 in range (n): T(n) = Complexity = ... for i n in range (n):

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
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T(n) = _____

O(n) = _____

 

PYTHON
Determine a function T(n) that relates input size n to
number of runtime steps and the Big-O Time complexity
for this T(n): Example only:
T(n) = an^2 +k
Complexity = O(n)
def f6(n):
for i_1 in range (n):
for i 2 in range (n) :
T(n) =
Complexity =
for i n in range (n) :
f3 (n)
Transcribed Image Text:PYTHON Determine a function T(n) that relates input size n to number of runtime steps and the Big-O Time complexity for this T(n): Example only: T(n) = an^2 +k Complexity = O(n) def f6(n): for i_1 in range (n): for i 2 in range (n) : T(n) = Complexity = for i n in range (n) : f3 (n)
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