Longest Common Subsequence (LCS) PART 2 | Java | DSA | Strings, Recursion, Dynamic Programming

Longest Common Subsequence (LCS) PART 2 | Java | Data Structures | Strings, Recursion, Dynamic Programming - Software Engineering Interview/Placement/Leetcode Questions - MAANG, Facebook, Google, Amazon, Microsoft, Netflix | Java

*Bottom Up*
*Tabulation*

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 had discussed Recursion and Top Down Dynamic Programming approach. In Part 2, we discuss Bottom up Dynamic Programming approach along with Space optimization.

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