Question: Among Greedy algorithms, Dynamic programming, Backtracking, and Branch - and - Bound methods, which one is the most suitable for finding optimal solutions under constraints

Among Greedy algorithms, Dynamic programming, Backtracking, and
Branch-and-Bound methods, which one is the most suitable for finding optimal
solutions under constraints or searching for a feasible solution set? Provide a
detailed explanation with examples.

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