While it is in general difficult to find square roots, cube roots, and the like modulo some divisor N, it is easy to find integer square roots and cube roots in ordinary, rather than modular arithmetic. Write an efficient algorithm for function kthroot(N.k) which on input of an integer N and an exponent k, returns m = √N. You may assume k < log₂N. (HINT: Use binary search.) Provide a preudocode and running time analysis.
While it is in general difficult to find square roots, cube roots, and the like modulo some divisor N, it is easy to find integer square roots and cube roots in ordinary, rather than modular arithmetic. Write an efficient algorithm for function kthroot(N.k) which on input of an integer N and an exponent k, returns m = √N. You may assume k < log₂N. (HINT: Use binary search.) Provide a preudocode and running time analysis.
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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![While it is in general difficult to find square roots, cube roots, and the like
modulo some divisor N, it is easy to find integer square roots and cube roots in ordinary, rather
than modular arithmetic. Write an efficient algorithm for function kthroot(N.k) which on input of
an integer N and an exponent k, returns m = √N. You may assume k < log₂N. (HINT: Use
binary search.) Provide a preudocode and running time analysis.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F32e88e4b-79b3-499a-bf2c-e1e6d76ab517%2F820e76f9-7e84-40c7-b4a9-25ca2831b1a5%2Frh03zm8_processed.png&w=3840&q=75)
Transcribed Image Text:While it is in general difficult to find square roots, cube roots, and the like
modulo some divisor N, it is easy to find integer square roots and cube roots in ordinary, rather
than modular arithmetic. Write an efficient algorithm for function kthroot(N.k) which on input of
an integer N and an exponent k, returns m = √N. You may assume k < log₂N. (HINT: Use
binary search.) Provide a preudocode and running time analysis.
Expert Solution
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Step 1: Concept of binary search algorithm :
It is an optimised search algorithm that searches for element in a list in log(n) time. It reduces its search area with every iteration and reaches to it's goal if it exists in log(n) time.
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