📚 DSA in C++: Comprehensive Problem-Solving Solutions

Welcome to DSA in C++, a collection of data structures and algorithms (DSA) problem solutions. This repository focuses on solving a variety of coding challenges using different methods in C++, including recursive, iterative, dynamic programming, and more.

🔍 Whether you're preparing for coding interviews, enhancing your problem-solving skills, or deepening your knowledge of DSA, this repository is designed for you!

📚 Table of Contents -

• Introduction
• Folder Structure
• Overview
• How to Use This Repository
• Features
• Topics covered
• Contributing

📂 Folder Structure -

◾ Each problem is organized in its own folder with multiple solution files (e.g., recursive, iterative, dynamic programming, etc.).

◾ A README file is provided for each problem, explaining the solution in detail.

📝 Overview -

This repository serves as a resource for those learning and practicing DSA concepts through coding problems. Each problem includes:

◾ Explanation of the approach

◾ C++ code solution with comments

◾ Time and space complexity analysis

◾ Different methods used to solve the problem (e.g., recursive, iterative, dynamic programming, etc.)

📖 How to Use This Repository -

1. Clone the Repository: You can clone this repository to your local machine using:

   git clone https://github.com/Harshitkumar07/Dsa-in-cpp.git

2. Navigate to Specific Problems: The repository is organized by problem categories. Each problem is located in its respective folder with the solution in a .cpp file. For example:

   • problems/factorial.cpp

3. Understand the Solution: Each solution is well-commented for clarity. Make sure to read through the comments for a better understanding of the recursive logic used.

4. Run the Solutions: You can compile and run any solution using a C++ compiler:

   g++ filename.cpp -o output
   ./output

🚀 Features -

◾ Multiple Coding Methods: Solutions to problems are provided using different coding techniques such as recursion, iteration, greedy algorithms, and more.

◾ Structured Code: Each problem is well-structured and documented for clarity.

◾ Optimized Solutions: Efforts are made to provide the most efficient solutions possible, with complexity analysis provided for each approach.

📚 Topics Covered -

This repository covers a wide range of methos and topics, including:

◾ Recursion

More topics will be added soon!

🤝 Contributing -

Contributions are welcome! If you'd like to add new recursive problems or improve the solutions, feel free to fork the repository and submit a pull request.

1. Fork the repo
2. Create a new branch (git checkout -b feature/your-feature-name)
3. Commit your changes (git commit -m 'Add new feature')
4. Push to the branch (git push origin feature/your-feature-name)
5. Open a pull request

Star ⭐ the repo if you find it useful!

If you like the repository or find it helpful for your learning or interview preparation, don’t forget to star it on GitHub!