Given this implementation of insertion sort as seen in the photo below, What is the worst-case time complexity of this implementation? and why? kindly explain and/or provide examples
Given this implementation of insertion sort as seen in the photo below, What is the worst-case time complexity of this implementation? and why? kindly explain and/or provide examples
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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Given this implementation of insertion sort as seen in the photo below,
What is the worst-case time complexity of this implementation? and why? kindly explain and/or provide examples.
![def insertion_sort(arr):
for i in range(1, len(arr)):
t - arr[i]
# get index of arr[i] in
# assumed sorted sub-array arr[:i]
j = binary_search(arr[i], arr[:i])
# insert arr[i] at index j
arr.insert(j, arr[i])
# Removes element at index i + 1
# (shifted because of insert)
arr.pop(i+1)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0b212977-ec2b-40ad-9cc8-a3c98414681f%2F5583ef5b-f009-4852-8580-97b361ce2103%2Futhbsik_processed.png&w=3840&q=75)
Transcribed Image Text:def insertion_sort(arr):
for i in range(1, len(arr)):
t - arr[i]
# get index of arr[i] in
# assumed sorted sub-array arr[:i]
j = binary_search(arr[i], arr[:i])
# insert arr[i] at index j
arr.insert(j, arr[i])
# Removes element at index i + 1
# (shifted because of insert)
arr.pop(i+1)
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