Suppose we have a O(n) time algorithm that finds median of an unsorted array. Now consider a QuickSort implementation where we first find median using the above algorithm, then use median as pivot. What will be the worst case time complexity of this modified QuickSort. Q-1. A o(n^2 Logn) Which one is faster for 1000 data set to be sorted? B o(n^2) C o(n Logn Logn) D o(nLogn)

Suppose we have a O(n) time algorithm that finds median of an unsorted array. Now consider a QuickSort implementation where we first find median using the above algorithm, then use median as pivot. What will be the worst case time complexity of this modified QuickSort. Q-1. A o(n^2 Logn) Which one is faster for 1000 data set to be sorted? B o(n^2) C o(n Logn Logn) D o(nLogn)

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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Sorting Algorithms

Suppose we have a O(n) time algorithm that finds median of an unsorted array. Now consider
a QuickSort implementation where we first find median using the above algorithm, then use
median as pivot. What will be the worst case time complexity of this modified QuickSort.
Q-1.
A o(n^2 Logn)
Which one is faster
for 1000 data set to
be sorted?
B o(n^2)
C o(n Logn Logn)
D O(nLogn)

Process or set of rules that allow for the solving of specific, well-defined computational problems through a specific series of commands. This topic is fundamental in computer science, especially with regard to artificial intelligence, databases, graphics, networking, operating systems, and security.

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