Types of Set Data Structure
The set data structure can be classified into the following two categories:
1. Unordered Set
An unordered set is an unordered associative container implemented using a hash table where keys are hashed into indices of a hash table so that the insertion is always randomized. All operations on the unordered set take constant time O(1) on an average which can go up to linear time O(n) in the worst case which depends on the internally used hash function, but practically they perform very well and generally provide a constant time lookup operation.
2. Ordered Set
An Ordered set is the common set data structure we are familiar with. It is generally implemented using balanced BSTs and it supports O(log n) lookups, insertions and deletion operations.
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