The time complexity of the dynamic programming approach for finding the longest common subsequence is _______.
- O(2^n)
- O(n log n)
- O(n^2)
- O(nm)
The time complexity of the dynamic programming approach for finding the Longest Common Subsequence (LCS) is O(n^2), where 'n' and 'm' are the lengths of the input strings. This is achieved by filling up a 2D table in a bottom-up manner.
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