Mastering Dynamic Programming - How to solve any interview problem (Part 1)

🎬 Mastering Dynamic Programming: An Introduction 🎬 Are you ready to unravel the secrets of dynamic programming? 🤔 Dive into the world of efficient problem-solving with this comprehensive introduction to dynamic programming. Whether you’re a budding programmer or an algorithm aficionado, this video is your gateway to understanding the magic behind DP. 🔑 Key Takeaways: 📌 Demystifying the concept of dynamic programming. 📌 Understanding the core principles behind dynamic programming. 📌 Unleashing the power of recursion and memoization. 📌 Step-by-step breakdown of dynamic programming problem-solving. Dynamic programming is like a puzzle-solving technique, and this video is your ultimate guide to fitting the pieces together. Get ready to elevate your coding skills and witness the art of optimization in action. 🚀 If you found this video helpful, don’t forget to like, share, and subscribe for more tech tutorials! Checkout part 2: 🌐 SiteGround: the hosting solution I like (affiliate link): 📖 Introduction to Algorithms, one of the key books about algorithms (affiliate link): 🔗 Connect with me: Support me on patreon: LinkedIn: Join my discord: Visit my blog: Follow me on Instagram: Follow me on Twitter: Timecodes 00:00 - Intro to DP 01:40 - Problem: Fibonacci 04:44 - Memoization 06:22 - Bottom-Up Approach 07:20 - Dependency order of subproblems 07:52 - Problem: Minimum Coins 13:39 - Problem: Coins - How Many Ways 15:22 - Problem: Maze 18:55 - Key Takeaways
Back to Top