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CSES Solutions

Welcome to my comprehensive collection of solutions to CSES (Code Submission Evaluation System) problems. This guide follows a structured approach similar to the USACO Guide, helping you master competitive programming concepts through practical problem-solving.

🎯 About This Guide​

This collection contains detailed solutions to CSES problems with:

  • Multiple approaches for each problem
  • Step-by-step explanations of algorithms
  • Optimization techniques and complexity analysis
  • Code implementations in C++ and Python
  • Practice problems to reinforce concepts

📚 Problem Categories​

Dynamic Programming​

Master the art of solving complex problems by breaking them down into simpler subproblems.

Key Topics:

  • Basic DP concepts
  • Knapsack problems
  • Grid DP
  • Tree DP
  • Digit DP

Graph Algorithms​

Learn essential graph algorithms and their applications in competitive programming.

Key Topics:

  • Graph representations
  • DFS and BFS
  • Shortest path algorithms
  • Minimum spanning trees
  • Strongly connected components

Sorting and Searching​

Fundamental algorithms for organizing and finding data efficiently.

Key Topics:

  • Sorting algorithms
  • Binary search
  • Two pointers technique
  • Sliding window

Mathematics​

Mathematical concepts and number theory problems.

Key Topics:

  • Number theory
  • Combinatorics
  • Modular arithmetic
  • Prime factorization

🚀 How to Use This Guide​

  1. Start with Basics: Begin with fundamental concepts in each category
  2. Practice Regularly: Solve problems in order of difficulty
  3. Understand Multiple Solutions: Learn different approaches for the same problem
  4. Implement Yourself: Try coding solutions before reading explanations
  5. Track Progress: Keep a log of solved problems and concepts mastered

🤝 How to Contribute​

I welcome contributions to improve this guide! Here's how you can help:

Contributing Solutions​

  1. Fork the Repository: Start by forking this project
  2. Choose a Problem: Pick an unsolved problem or improve existing solutions
  3. Write Clear Explanations: Include step-by-step reasoning
  4. Provide Multiple Approaches: Show different solution methods
  5. Test Your Code: Ensure solutions are correct and efficient
  6. Submit a Pull Request: Follow the contribution guidelines

Contribution Guidelines​

  • Code Quality: Write clean, readable, and well-commented code
  • Explanations: Provide clear explanations of algorithms and logic
  • Multiple Languages: Include solutions in C++ and Python when possible
  • Complexity Analysis: Always mention time and space complexity
  • Edge Cases: Consider and handle edge cases properly

File Structure​

docs/cses/
├── dynamic-programming/
│   ├── intro.md
│   ├── coin-combinations-i.md
│   ├── coin-combinations-ii.md
│   └── ...
├── graph-algorithms/
│   ├── intro.md
│   ├── counting-rooms.md
│   ├── labyrinth.md
│   └── ...
└── ...

Pull Request Process​

  1. Create a new branch for your contribution
  2. Add your solution file following the naming convention
  3. Update the sidebar configuration if adding new categories
  4. Test your changes locally
  5. Submit a pull request with a clear description

📊 Progress Tracking​

  • Total Problems: 300+
  • Solved: 150+
  • Categories: 4 main categories
  • Languages: C++, Python

🔗 Useful Resources​

📞 Contact​

Have questions or suggestions? Feel free to reach out:

Happy coding and happy learning! 🎉