How to learn Longest Common Subsequence (LCS) for coding interviews?

Master Longest Common Subsequence (LCS) by understanding the core concept and practicing related problems. Key topics: longest common subsequence, LCS, 2D string DP, delete operation, leetcode 1143.

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Dynamic Programming Patterns · 7 of 12

Longest Common Subsequence (LCS)

Find longest common subsequence between two strings using 2D DP.

Topics

longest common subsequenceLCS2D string DPdelete operationleetcode 1143

What you'll learn

•Core concepts and intuition behind Longest Common Subsequence (LCS)
•Step-by-step implementation with code examples
•Time and space complexity analysis
•Common interview problems and variations

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Edit Distance - Levenshtein Distance

Calculate minimum edit operations to transform one string to another using 2D DP.

Kadane's Algorithm - Maximum Subarray

Master Kadane's algorithm for finding maximum (or minimum) subarray sum in O(n) time.

Interval Dynamic Programming

Solve problems on intervals like burst balloons and matrix chain multiplication using interval DP.

Unique Paths on Grid - 2D DP

Count paths and find optimal paths in grids using 2D dynamic programming.

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