Welcome to the "Algorithms" repository. This collection of code examples is dedicated to algorithms and algorithmic problem-solving in various programming languages.
Algorithms are the heart of computer science and software development. This repository is designed to help you understand and implement a wide range of algorithms, from simple sorting algorithms to more complex graph algorithms. Whether you're a beginner looking to learn the fundamentals or an experienced developer seeking reference implementations, you'll find valuable content here.
The "Algorithms" section of this repository provides code implementations for a variety of algorithmic techniques, including:
- Searching Algorithms: Examples of searching algorithms like linear search, binary search, and more.
- Sorting Algorithms: Implementations of sorting algorithms such as bubble sort, merge sort, quicksort, and others.
- Graph Algorithms: Code for graph-related algorithms like Dijkstra's algorithm, breadth-first search, depth-first search, and more.
- Dynamic Programming: Solutions for problems that can be optimized using dynamic programming.
- Greedy Algorithms: Examples of greedy algorithms for solving optimization problems.
Please explore the "Algorithms" directory for specific algorithm implementations.
The code examples in this repository are provided in various programming languages to accommodate a wide audience. Commonly used languages include:
- C++
- Python
- JavaScript
We welcome contributions from the open-source community. If you'd like to contribute to this repository by adding new algorithms, improving documentation, or fixing issues.
This repository is licensed under the MIT License. Feel free to use the code in your projects, study it, and share it, provided you adhere to the terms of the license.
We hope this repository proves to be a valuable resource for your learning and development in the realm of algorithms and algorithmic problem-solving. Happy coding!