Learning Algorithms

Welcome to the Learning Algorithms repository! This project is a collection of algorithms implemented in C++, designed to enhance my understanding of algorithmic concepts and their applications. Each algorithm is tested using custom functions to ensure correctness and efficiency.

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Project Structure

The repository is organized into the following files and directories:

├── main.cpp         // Entry point of the program
├── algorithms.cpp   // Contains implemented algorithms
├── algorithms.hpp     // Header file for algorithms
├── functions.cpp    // Contains functions to test algorithms
├── functions.hpp      // Header file for functions
├── Makefile         // Makefile for bundling the project

File Descriptions

• main.cpp: The entry point for running and testing the implemented algorithms.
• algorithms.cpp & algorithms.hpp: Contain the implementation of various algorithms along with their corresponding function declarations.
• functions.cpp & functions.hpp: Provide utility functions and test cases to verify the correctness of the algorithms.

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How to Use

To run the program and test the algorithms:

1. Clone the repository:

   git clone https://github.com/orionaraf/Learning-Algorithms/

2. Navigate to the project directory:

   cd "Learning Algorithms"

3. Use Makefile to compile the project

   make

4. Run the compiled program:

   ./project

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Future Plans

• Add more algorithms (e.g., dynamic programming, greedy algorithms).
• Include performance benchmarks for implemented algorithms.
• Add detailed comments and documentation for each algorithm.

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Contributing

Contributions are welcome! If you'd like to improve the code or add new algorithms, please feel free to fork the repository and create a pull request.

1. Fork the repository.
2. Create a new branch for your feature/bugfix:

   git checkout -b feature-name

3. Commit your changes:

   git commit -m "Add your message here"

4. Push the branch:

   git push origin feature-name

5. Open a pull request.

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Contact

If you have any questions, suggestions, or feedback, feel free to reach out:

• Email: shaidozzamanaraf21@gmail.com
• GitHub: orionaraf

Thank you!