Applications of Tree Data Structure
- File System: This allows for efficient navigation and organization of files.
- Data Compression: Huffman coding is a popular technique for data compression that involves constructing a binary tree where the leaves represent characters and their frequency of occurrence. The resulting tree is used to encode the data in a way that minimizes the amount of storage required.
- Compiler Design: In compiler design, a syntax tree is used to represent the structure of a program.
- Database Indexing: B-trees and other tree structures are used in database indexing to efficiently search for and retrieve data.
Tree Data Structure
Tree Data Structure is a non-linear data structure in which a collection of elements known as nodes are connected to each other via edges such that there exists exactly one path between any two nodes.
Table of Content
- What is Tree Data Structure?
- Terminologies In Tree Data Structure
- Types of Tree Data Structure
- Applications of Tree Data Structure
- Basics of Tree Data Structure
- Basic Operations on Tree Data Structure
- n-ary or Generic Tree
- Binary Tree
- Binary Search Tree
- Ternary Search Tree
- AVL Tree
- B+ Tree
- Red-Black Tree
- Other types of Trees
- Trees vs other Data Structures
- Comparison among different Tree Data Structures
- Problems based on Tree Data Structure