Welcome to the Master Dynamic Programming Repository! This repository is dedicated to providing comprehensive explanations and solutions to various dynamic programming problems using the top 10 dynamic programming patterns. The goal of this repository is to help developers and programming enthusiasts understand dynamic programming concepts better and improve their problem-solving skills.
The repository covers the following 10 dynamic programming patterns:
- Fibonacci Style
- On Matrix
- On String
- Longest Increasing Subsequence (LIS)
- Longest Common Subsequence (LCS)
- Best Time to Buy & Sell Stock / State Machine
- On Trees
- Knapsack
- General 1D
- General Multidimensional
Contributions to this repository are currently closed. The main purpose of this repository is to serve as a comprehensive reference for dynamic programming problems and solutions using the 10 specified patterns. Therefore, external contributions are not allowed at the moment to maintain the integrity and consistency of the content.
However, if you spot any errors, typos, or have suggestions to improve the existing content, you are welcome to open an issue in the repository. The maintainers will periodically review these issues and make necessary updates if required.
Browse: You can browse the repository and explore the various dynamic programming problems and solutions organized by the 10 patterns mentioned above. Each problem will have its detailed explanation and a well-commented solution.
Learn: The explanations provided in this repository are designed to help you understand the underlying concepts of dynamic programming better. Read through the explanations and try to grasp the thought process behind each solution.
Practice: After understanding the patterns and solutions, you are encouraged to practice solving similar problems on your own. The more you practice, the better you'll become at applying dynamic programming techniques.
Contribute (currently closed): As mentioned earlier, contributions to this repository are currently not allowed. If you have any suggestions or spot any issues, feel free to open an issue on GitHub.
To get started, simply browse the repository and select a specific dynamic programming pattern you wish to learn or revise. Each pattern's directory will contain problems related to that specific pattern along with their explanations and solutions.
If you have any questions or need assistance related to the content in this repository, please feel free to contact the maintainers or open an issue on GitHub.