What is the main principle behind dynamic programming?
- Divide and conquer
- Memoization
- Optimal substructure
- Overlapping subproblems
Dynamic programming is based on the principle of breaking down complex problems into smaller, manageable subproblems and solving each subproblem just once, storing the results for future reference. Memoization is a technique used in dynamic programming to store previously computed results to avoid redundant computations, making it an essential aspect of this approach.
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