Advantages of Set Data Structure
- Set can be used to store unique values in order to avoid duplications of elements present in the set.
- Elements in a set are stored in a sorted fashion which makes it efficient to check if an element is present in the set or not.
- Set is dynamic, so there is no error of overflowing of the set.
- Searching operation takes O(logN) time complexity.
- Sets can be implemented using different data structures, such as HashSets and TreeSets , each with its own advantages and use cases.
- Sets can be used in a variety of applications, including algorithms, data analysis, and databases.
Introduction to Set – Data Structure and Algorithm Tutorials
Set Data Structure is a type of data structure which stores a collection of distinct elements. In this article, we will provide a complete guide for Set Data Structure, which will help you to tackle any problem based on Set.
Table of Content
- What is Set Data Structure?
- Need for Set Data Structure
- Types of Set Data Structure
- Set Data Structure in Different Languages
- Set in C++
- Set in Java
- Set in Python
- Set in C#
- Set in JavaScript
- Difference between Array, Set, and Map Data Structure
- Internal Implementation of Set Data Structure
- Operations on Set Data Structure
- Implementation of Set Data Structure
- Complexity Analysis of Operations on Set Data Structure:
- Some Basic Operations/Terminologies Associated with Set Data Structure
- Properties of Set Data Structure
- Applications of Set Data Structure
- Advantages of Set Data Structure
- Disadvantages of Set Data Structure
- Some Standard Problems Associated with Set Data Structure
- Frequently Asked Questions on Set Data Structure