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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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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.
Other videos from Recursion and Dynamic Programming:-
Other videos from Backtracking:-
Other videos from Heap:-
Other videos from Strings:-
Other videos from Arrays:-
Playlists:-
If you feel that the content is useful, please SUBSCRIBE!
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