Longest Common Subsequence (LCS) Explained 🔥 Recursion + DP (Easy)

Learn the Longest Common Subsequence (LCS) problem in the simplest way with this animated explanation.

LCS is one of the most important Dynamic Programming problems asked in coding interviews.

🚀 In this video, you will learn:
- What is Longest Common Subsequence (LCS)
- Difference between subsequence and substring
- Recursive approach (brute force)
- Dynamic Programming (Memoization & Tabulation)
- How DP avoids repeated calculations
- Space optimization techniques (1D / 2 arrays)
- Time and space complexity explained

💡 Example Covered:
Find LCS between two strings step-by-step using DP table

🔥 Real-world applications:
- File comparison (Git diff)
- Version control systems
- Data comparison and bioinformatics

⚠️ Common mistakes:
- Confusing subsequence with substring
- Incorrect DP transitions

⏱ Explained in a fast and visual way using animation.

#LCS #DynamicProgramming #Recursion #DSA #CodingInterview #Algorithms

Видео Longest Common Subsequence (LCS) Explained 🔥 Recursion + DP (Easy) канала Flutterflow Tutorials