Deterministic dynamic programming is a method used for solving optimization problems where the outcomes are predictable and the same inputs always produce the same outputs. This approach focuses on breaking down complex problems into simpler subproblems, solving each subproblem just once, and storing their solutions for future reference. This method is particularly effective in finding optimal policies or strategies over time, leveraging the principle of optimality and leading to the formulation of the Bellman equation.
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