Introduction:
In a world where coding competitions and technical interviews are the ultimate battlegrounds, we, the coding warriors, often find ourselves in a marathon instead of a sprint. To document our progress and keep track of our training, I’ve created a comprehensive list of dynamic programming (DP) problems, categorized by their unique challenges and complexities. Join me on this epic journey of upskilling, where we’ll delve deep into various DP topics, conquer the coding realm, and sprinkle in a little humor along the way. Let’s dive in!
Linear DP: 🏃♂️
Let’s start with the basics! Linear DP problems involve finding repetitive patterns in a solution and optimizing by storing intermediate results. Think of it as upgrading your Fibonacci game. 🌟
Practise Problems: https://leetcode.com/list/rgpcbut6
String and DP: 🧵
String problems are like the bread and butter of coding interviews. Mastering them requires combining backtracking, recursion, and DP for that extra flair. Get ready to untangle those strings and optimize your solutions. 💡
Practise Problems: https://leetcode.com/list/rgpbrkrs
DP with Trees and Graphs: 🌲
Trees and graphs often play hide-and-seek with DP, but don’t worry, we’ve got this! Start with DFS and BFS to build a strong foundation, and then dive into advanced solutions with DP. 🚁
Practise Problems: https://leetcode.com/list/rgpbkh0h
Knapsack-based DP: 🎒
Imagine you have a limited number of slots to attend courses, each with its own reward points. It’s like the knapsack problem, but with a twist. Solve these problems to level up your DP skills. 📚
Practise Problems: https://leetcode.com/list/rgpby0o2
DP with Bit Manipulation: 💡
Why use arrays or maps when you can encode states and results into bits? Discover the power of bit manipulation in DP by tackling problems in this category. You’ll be amazed at what bits can do! 🤯
Practise Problems: https://leetcode.com/list/rgpbffjv
DP on Math Problems: ➗
While rare in interviews, if you’re a math enthusiast, this category is a hidden gem. Explore intriguing math-related DP problems and elevate your problem-solving skills to new heights. 🤓
Practise Problems: https://leetcode.com/list/rgpjhccj
Classical DP Problems: 📖
These are the classics, the interview staples. Solve them repeatedly to build a strong foundation and enhance your logical thinking. It’s like the “Inception” of DP problem-solving. 🕰️
Practise Problems: https://leetcode.com/list/rgpjx4yt
Grid-based DP: 📊
Grid-based questions are your chance to shine. They might seem easy, but practice is key. Master them, and you’ll breeze through grid-related problems. 🧩
Practise Problems: https://leetcode.com/list/rgpj5g1r
Multidimensional DP: 🌐
Sometimes, one dimension isn’t enough. Explore problems that require multi-dimensional DP to tackle complex scenarios. Get ready to think in more dimensions than ever before. 🔍
Practise Problems: https://leetcode.com/list/rgpj9qss
Digit Problems with DP: 🔢
Digits and DP may not seem like a match made in heaven, but you’ll be surprised at the creative solutions you can craft when you combine them. Challenge yourself with these digit-centric problems. 🎯
Practise Problems: https://leetcode.com/list/rgpjetzd
Interval Problems with DP: 🕰️
Time is of the essence, and these problems involve intervals and DP. Sharpen your skills by solving these tricky puzzles and learn to optimize your solutions effectively. ⏳
Practise Problems: https://leetcode.com/list/rgpjrd63
Conclusion:
So, fellow code warriors, we’ve embarked on a quest to master dynamic programming. By following these categorized lists of problems, we’ll not only upskill ourselves but also become versatile problem solvers. Remember to always question your approach and set timers while practicing to keep the marathon spirit alive. Let’s code our way to victory! 🏆💻
Stay tuned for more lists and challenges, and feel free to suggest additions. Happy coding! 🚀🧑💻 #DynamicProgramming #CodingJourney