What is the time complexity of the dynamic programming approach for finding the longest common subsequence?
- O(2^n)
- O(n)
- O(n^2)
- O(n^3)
The time complexity of the dynamic programming approach for finding the longest common subsequence is O(n^2), where 'n' is the length of the input sequences. This is achieved through a table-based approach that calculates the length of the LCS for all possible pairs of prefixes of the input sequences.
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