I've created a comprehensive Dynamic Programming series featuring 115+ problems, with 90+ problems sourced from LeetCode 📚. The rest are from GFG and Coding Ninjas. This series covers 10 different DP patterns, ranging from 1D to Graph DP 🧩, with a strong focus on medium and hard-level problems 🔥. In each folder, the problems are sequenced based on their serial order, so start with the problem labeled Serial 1, then move to Serial 2, and so on. Make sure you learn the patterns in the following order (click the pattern to jump to the specific folder):
- 1D DP
- Multi Dimensional DP
- Subsequences DP
- LIS DP
- String DP
- Stocks DP
- Partition DP
- Square Submatrix DP
- Tree DP
- Graph DP
- Both Top-Down DP and Bottom-Up DP solutions 💡.
- Multiple ways of writing Top-Down and Bottom-Up approaches 🔄.
- Solutions consider optimizations as much as possible, including various space optimizations across different patterns (e.g., from 1D to constant space optimization, as we do in Bottom-Up approaches) 🛠️.
- Detailed time and space complexity note on the recursive solutions ⏱️.
- Fully readable code with necessary comments to make every solution crystal clear ✍️.
- The perfect sequence of problems for each pattern, helping you solve them in the right order 📊.
Whether you're a beginner in Dynamic Programming or aiming to master it, this series will be helpful for everyone. This is designed to help others so that they won't struggle the same way I did. All you have to do is read the question, try the problem yourself first, and then open the solution and read them sequence-wise as uploaded. You have to worry about nothing—everything is organized sequentially, guiding you step by step through each pattern 🗺️. By the end of this series, you'll end up solving 90+ LeetCode Dynamic Programming problems! 🎯
I will continue to add more problems and updates to keep the series comprehensive and current. Stay tuned! 🔧
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#DynamicProgramming #LeetCode #GFG #CodingNinjas #Coding #ProblemSolving #SoftwareEngineering #DSAisLove