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)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe79ce960-4f1c-486f-bdb6-1fe8addddf15%2F5689c9ef-98c2-40e4-8f86-107ee88e430e%2Fx1earj_processed.png&w=3840&q=75)
Transcribed Image Text: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)
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