A compiler optimizing a program divides tasks into smaller subproblems; it uses memoization to avoid recomputing previously solved subproblems. Which algorithm design paradigm is most clearly demonstrated?

💡 Explanation

Dynamic programming is characterized by dividing a problem into overlapping subproblems and storing their solutions, because the compiler reuses these solutions through memoization, a key feature of dynamic programming; therefore, dynamic programming is the best fit, rather than just divide and conquer which lacks the optimization aspect.

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