Longest Common Subsequence (LCS) PART 1 | Java | DSA | Strings, Recursion, Dynamic Programming

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Longest Common Subsequence (LCS) | Java | Data Structures | Strings, Recursion, Dynamic Programming - Software Engineering Interview/Placement/Leetcode Questions - MAANG, Facebook, Google, Amazon, Microsoft, Netflix | Java

This problem is a test of a very common approach - Recursion-Top Down Dynamic Programming - Bottom up Dynamic Programming. Once a candidate is comfortable with this approach, he can use it to solve many similar problems. In Part 1, we discuss Recursion and Top Down Dynamic Programming approach. In Part 2, we'll discuss Bottom up Dynamic Programming approach along with Space optimization.

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We also discuss Space Optimization of Bottom up Approach. We also discuss how to print the actual LCS in addition to its length.

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