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https://github.com/roy7077/advance-algo-dsa

This repository contains advanced algorithmic concepts and practice problems aimed at improving problem-solving skills for competitive programming and technical interviews. Topics include Fenwick Tree, Trie, KMP, Monotonic Stack, Sliding Window, Bit Manipulation, and more. Perfect for those targeting 1800 ~ 2200 difficulty range problems.
https://github.com/roy7077/advance-algo-dsa

advanced-data-structures dsa dsa-algorithm dsa-practice leetcode

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This repository contains advanced algorithmic concepts and practice problems aimed at improving problem-solving skills for competitive programming and technical interviews. Topics include Fenwick Tree, Trie, KMP, Monotonic Stack, Sliding Window, Bit Manipulation, and more. Perfect for those targeting 1800 ~ 2200 difficulty range problems.

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README

        

# Advanced Algorithm Practice for Competitive Programming

Welcome to my GitHub repository where I share concepts and problems related to advanced algorithmic techniques and data structures. This repository is designed for those aiming to improve their problem-solving skills in the 1800 ~ 2200 difficulty range, particularly useful for competitive programming and technical interviews.

## Getting Started

If your goal is to seek new opportunities or excel in competitive programming, it's a good time to start practicing more advanced topics. By now, you should be comfortable with most medium-level problems and familiar with fundamental algorithms and data structures.

## Advanced Topics to Explore

To achieve a breakthrough in your problem-solving skills, consider diving into the following advanced topics. These are often not required for routine development but can give you a significant edge in competitions and interviews:

1. **Difference Array**
2. **BIT Tree (Fenwick Tree)**
3. **Basic Math Algorithms**
- Sieve of Eratosthenes
- Modular Inverse
4. **Trie**
5. **Advanced String Algorithms**
- KMP (Knuth-Morris-Pratt)
- Rolling Hash
6. **Monotonic Stack**
7. **Sliding Window**
8. **Bit Manipulation**
9. **Union Set (Disjoint Set)**
10. **Bitmask DP (Dynamic Programming)**
11. **Graph Algorithms**
- Floyd-Warshall Algorithm
- Minimum Spanning Tree

## Practice Strategy

To excel in solving higher difficulty problems:

- **Practice Regularly:** Consistent practice is key to becoming proficient.
- **Solve Medium Problems Comfortably:** Ensure you can solve most medium problems without assistance.
- **Tackle Hard Problems:** Aim to solve at least half of the hard problems independently.
- **Improve Typing Speed:** Fast and accurate typing can make a difference during timed contests.

## Repository Structure

- **Concepts:** Detailed explanations and implementations of each advanced topic.
- **Problems:** A collection of practice problems categorized by difficulty and topic.
- **Solutions:** Step-by-step solutions to selected problems.

## Contribution

Feel free to contribute to this repository by:

- Adding new concepts or problems.
- Improving existing explanations and solutions.
- Reporting issues or suggesting enhancements.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Acknowledgments

Special thanks to the community and various online resources that help in learning and mastering these concepts.

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Happy Coding!