The time complexity of the dynamic programming approach for the longest common substring problem is _______.
- O(n log n)
- O(n)
- O(n^2)
- O(nm)
The time complexity of the dynamic programming approach for the longest common substring problem is O(nm), where 'n' and 'm' are the lengths of the input strings. The algorithm uses a table of size n x m to store intermediate results, leading to a quadratic time complexity.
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