This repository contains a curated collection of the most important algorithms in computer science, complete with:
- 📊 Interactive visualizations to understand the algorithms visually.
- 💻 Clean implementations for easy integration into your projects.
- 🎯 Real-world applications demonstrating the importance of each algorithm.
- ⏱️ Complexity analysis for understanding their performance.
- 🔍 Step-by-step explanations that break down how the algorithm works.
| Algorithm | Complexity | Category | Documentation |
|---|---|---|---|
| Binary Search | -blue){kind=icon} |
Searching | 📖 |
| Quick Sort | -green){kind=icon} |
Sorting | 📖 |
| BFS | -orange){kind=icon} |
Graph | 📖 |
| DFS | |
Graph | 📖 |
| Dijkstra | log%20V)-red){kind=icon} |
Pathfinding | 📖 |
- Interactive Visualizations: Engage with interactive diagrams that visually explain the algorithm's behavior.
- Multiple Languages: Find implementations in your favorite programming languages.
- Time Complexity: Learn about the time and space complexity for each algorithm.
- Real-world Applications: Discover where each algorithm is used in real-world scenarios.
- Step-by-Step Explanations: Understand the internal workings with easy-to-follow explanations.
Authored by Amirhossein Dehghaniazar