How is the coin change problem related to dynamic programming?
- Dynamic programming is employed to solve subproblems efficiently and avoid redundant calculations.
- Dynamic programming is only applicable to certain variations of the problem.
- Dynamic programming is used to count the total number of coins, but not for optimization.
- It isn't related to dynamic programming.
The coin change problem is related to dynamic programming as it involves solving subproblems efficiently and storing their solutions to avoid redundant calculations. Dynamic programming is used to find the optimal combination of coins to minimize the total count.
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