Data Structures and Algorithms

Overview

This project is a comprehensive implementation of various data structures and algorithms in multiple programming languages. It serves as a valuable resource for anyone interested in learning and practicing essential concepts in computer science.

Table of Contents

1. Introduction
2. Algorithms
   • Sorting Algorithms
   • Searching Algorithms
   • Graph Algorithms
3. Data Structures
   • Arrays
   • Linked Lists
   • Stacks
   • Queues
   • Trees
   • Heaps
   • Hash Tables
   • Graphs
4. Usage
5. Contributing
6. License

Introduction

This project aims to provide a comprehensive collection of data structures and algorithms implemented in multiple programming languages. Each algorithm and data structure is accompanied by detailed explanations and sample code, making it easy to understand and apply them in real-world scenarios. Whether you're a student, software engineer, or tech enthusiast, this repository serves as an invaluable resource to enhance your understanding of fundamental concepts.

Algorithms

Sorting Algorithms

Algorithm	Description
Bubble Sort	Simple sorting algorithm with average time complexity of O(n^2)
Insertion Sort	Efficient algorithm for sorting small numbers of elements
Selection Sort	Basic sorting algorithm with time complexity of O(n^2)
Merge Sort	Divide-and-conquer algorithm with time complexity of O(n log n)
Quick Sort	Efficient algorithm with average time complexity of O(n log n)
Heap Sort	In-place comparison-based sorting algorithm

Searching Algorithms

Algorithm	Description
Linear Search	Basic search algorithm that checks each element
Binary Search	Efficient search algorithm for sorted arrays
Depth-First Search (DFS)	Graph traversal algorithm exploring as far as possible before backtracking
Breadth-First Search (BFS)	Graph traversal algorithm exploring neighbor nodes before moving to the next level

Graph Algorithms

Algorithm	Description
Depth-First Search (DFS)	Graph traversal algorithm exploring as far as possible before backtracking
Breadth-First Search (BFS)	Graph traversal algorithm exploring neighbor nodes before moving to the next level
Dijkstra's Algorithm	Shortest path algorithm for weighted graphs
Prim's Algorithm	Minimum spanning tree algorithm for weighted graphs
Kruskal's Algorithm	Minimum spanning tree algorithm for weighted graphs

Data Structures

Arrays

• Dynamic Array
• Circular Array
• Sparse Array

Linked Lists

• Singly Linked List
• Doubly Linked List
• Circular Linked List

Stacks

• Array-based Stack
• Linked List-based Stack

Queues

• Array-based Queue
• Linked List-based Queue
• Priority Queue

Trees

• Binary Search Tree
• AVL Tree
• Red-Black Tree
• Heap

Heaps

• Min Heap
• Max Heap
• PriorityQueue

Hash Tables

• Simple Hash Table
• HashMap

Graphs

• Adjacency Matrix
• Adjacency List
• Graph Traversal Algorithms

Usage

To use the code in this project, simply select the programming language of your choice and navigate to the corresponding folder. Each algorithm and data structure is implemented in multiple languages, making it easy to find the one you're interested in. You can copy and modify the code to fit your needs within your own projects.

Contributing

Contributions to this project are welcome! If you have any suggestions for improvements or would like to add new algorithms or data structures in different programming languages, please open an issue or submit a pull request. Let's collaborate and make this repository even more comprehensive and valuable for the community.

License

This project is licensed under the MIT License. Feel free to use the code and modify it according to your needs.