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🎯 Problem: Minimum Falling Path Sum II | Dynamic Programming Explained 💡

In this video, we solve the popular Leetcode problem *"Minimum Falling Path Sum II"* using various Dynamic Programming techniques:

Problem Link : https://leetcode.com/problems/minimum...
Solution Link : https://github.com/proteinCoder/dynam...

✅ Plain Recursion
✅ Memoization (Top-Down DP)
✅ Tabulation (Bottom-Up DP)
✅ Space Optimization
✅ Fully Optimized Approach using Two-Minimums Trick (O(n * m) time)

We explain the logic step-by-step with clean C++ code and time complexity analysis for each method.

📚 Problem Statement:
Given a square matrix of integers, find the minimum falling path sum starting from any element in the first row and moving down to the last row. You can only move to a different column in the next row.

🔍 Key Concepts Covered:
Recursion
DP with Memoization
Tabulation
Time & Space Optimization Techniques
Clean & Efficient C++ Implementation

💻 Code Explained Line-by-Line
📈 Time Complexity Comparison
🧠 Suitable for beginners to advanced level

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#HappyCoding 🚀