Dynamic Programming Marathon (Part 1) | GeeksforGeeks

Welcome to Part 1 of the Dynamic Programming Marathon by GeeksforGeeks! 🎯 In this session, we dive deep into the fundamentals of dynamic programming (DP), a crucial concept for solving complex problems efficiently. Perfect for coding enthusiasts, placement aspirants, and competitive programmers, this session will: Resources: https://www.geeksforgeeks.org/dynamic-programming/ https://www.geeksforgeeks.org/tabulation-vs-memoization/ Problems Solved in Class: https://www.geeksforgeeks.org/problems/nth-fibonacci-number1335/1 https://www.geeksforgeeks.org/problems/count-ways-to-reach-the-nth-stair-1587115620/1 https://www.geeksforgeeks.org/problems/find-optimum-operation4504/1 https://www.geeksforgeeks.org/problems/stickler-theif-1587115621/1 https://www.geeksforgeeks.org/problems/geek-jump/1 https://www.geeksforgeeks.org/problems/path-in-matrix3805/1 Assignments: https://www.geeksforgeeks.org/problems/house-robber-ii/1 https://www.geeksforgeeks.org/problems/minimal-cost/1 https://www.geeksforgeeks.org/problems/geeks-training/1! Time stamps 00:00:00 Start 00:01:25 Introduction 00:06:50 What is Dynamic Programming? 00:22:40 Memoization vs Tabulation 01:07:35 Problem A - Ways to reach nth stair 01:20:55 Problem B - Minimum Operations 01:55:00 Problem C - House Robber 02:38:50 Problem D - Frog Jump 03:01:45 Doubt Session 03:17:05 Problem E - DP on Grids (Maximum path sum in matrix) 03:39:30 Conclusion 🔔 Don’t forget to like, subscribe, and hit the bell icon for updates on upcoming parts of this marathon. 💡 Join us on this learning journey, and become a pro at solving DP problems! #DynamicProgramming #CodingMarathon #GeeksforGeeks #PlacementPreparation #CompetitiveProgramming