Discuss the time complexity of the dynamic programming approach for solving the coin change problem.
- O(2^n)
- O(n log n)
- O(n)
- O(n^2)
The time complexity of the dynamic programming approach for the coin change problem is O(2^n), where 'n' is the total amount to be made with coins. This is due to the recursive nature of the algorithm, which explores all possible combinations, resulting in exponential time complexity.
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