Question 5 Suppose we have a hash table which uses linear probing which is full and needs to be expanded. What is the worst case time complexity of expanding the hash table, assuming that hash functions are O(1)? (a) (b) O (c) (d) (e) O O(1) O(log n) O(n) O(n log n) O(n^2) ✓ Your response was correct. Expanding the hash table requires rehashing/re-inserting each element. The worst case time complexity of inserting an element into a hash table is O(n), and therefore the worst case time complexity of expanding the hash table is n x O(n) = O(n^2).
Question 5 Suppose we have a hash table which uses linear probing which is full and needs to be expanded. What is the worst case time complexity of expanding the hash table, assuming that hash functions are O(1)? (a) (b) O (c) (d) (e) O O(1) O(log n) O(n) O(n log n) O(n^2) ✓ Your response was correct. Expanding the hash table requires rehashing/re-inserting each element. The worst case time complexity of inserting an element into a hash table is O(n), and therefore the worst case time complexity of expanding the hash table is n x O(n) = O(n^2).
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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