What is the time complexity of functions foo() and bar() respectively in below given code snippets, given that n is the total size of the input and L and R are Vectors def foo(L, R): S = Vector() for x in L: if x in R: S.add_back(x) return S def bar(L, R): R_hash = HashTable() for r in R: R_hash.insert(r, False) S = Vector() for x in L: if R_hash.contains(x): S.add_back(x) return S O(N^2), O(N) O(N), O(N) O(N^2), O(N^2) O(1), O(N)

What is the time complexity of functions foo() and bar() respectively in below given code snippets, given that n is the total size of the input and L and R are Vectors def foo(L, R): S = Vector() for x in L: if x in R: S.add_back(x) return S def bar(L, R): R_hash = HashTable() for r in R: R_hash.insert(r, False) S = Vector() for x in L: if R_hash.contains(x): S.add_back(x) return S O(N^2), O(N) O(N), O(N) O(N^2), O(N^2) O(1), O(N)

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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Concept explainers

Hash Table

A hash table also called a hash map, is a data structure that maps key-value pairs. The hash table can be used in complex systems to provide fast access and compact storage. A hash table is a structure that stores data in an abstract data type kind of associative array. It keeps data in an array format, with a distinct index value for every data value. If the index of the required data is known, then the data can be accessed very easily.

Question

What is the time complexity of functions foo() and bar() respectively in below given code
snippets, given that n is the total size of the input and L and R are Vectors
def foo(L, R):
S = Vector()
for x in L:
if x in R:
S.add_back(x)
return S
def bar(L, R):
R_hash= HashTable()
for r in R:
R_hash.insert(r, False)
S = Vector()
for x in L:
if R_hash.contains(x):
S.add_back(x)
return S
O(N^2), O(N)
O(N), O(N)
O(N^2), O(N^2)
O(1), O(N)

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