Q15: Analyze the time complexity of the below powering code. This code shows the divide and conquerapproach as T(n)=aT(n/b) + O(1). Prove what T(n) is by the master theorem through identifying the caseof the below code with a and b.Python3 program to calculate pow(x,n)Function to calculate x# raised to the power ydef power(x, y):if (y == 0): return 1elif (int(y X 2) == 0):return (power(x, int(y / 2))power(x, int (y / 2)))else:return (x• power(x, int(y / 2))power(x, int(y / 2)))# Driver Codex = 2; y = 3print(power(x, y))ANS:

Maters theorem is used to find out the time complexity of the recursive programs if the recurrence…

Q15: Analyze the time complexity of the below powering code. This code shows the divide and conquer approach as T(n)-aT(n/b) + O(1). Prove what T(n) is by the master theorem through identifying the case of the below code with a and b. a Python3 program to calculate pow(x,n) la Function to calculate x raised to the power y |def power(x, y): if (y == 0): return 1 elif (int(y x 2) == 0): return (power(x, int(y / 2)) power (x, int (y / 2))) else: return (x• power(x, int(y/ 2)) . power (x, int(y / 2))) * Driver Code x - 2; y = 3 print(power(x, y))

Q15: Analyze the time complexity of the below powering code. This code shows the divide and conquer approach as T(n)-aT(n/b) + O(1). Prove what T(n) is by the master theorem through identifying the case of the below code with a and b. a Python3 program to calculate pow(x,n) la Function to calculate x raised to the power y |def power(x, y): if (y == 0): return 1 elif (int(y x 2) == 0): return (power(x, int(y / 2)) power (x, int (y / 2))) else: return (x• power(x, int(y/ 2)) . power (x, int(y / 2))) * Driver Code x - 2; y = 3 print(power(x, y))

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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