The top-down approach is a problem-solving method that starts by breaking down a complex problem into smaller, more manageable subproblems, addressing the highest-level components first before working through the details. This strategy is particularly useful in dynamic programming as it simplifies the process of tackling problems with overlapping subproblems and optimal substructure, allowing for efficient computation and memorization of results.
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