Dynamic programming is a method used for solving complex problems by breaking them down into simpler subproblems, which are then solved just once and stored for future reference. This approach is particularly effective in optimizing decision-making processes where the outcome depends on a sequence of decisions over time. It connects deeply with concepts of optimal control, allowing for systematic analysis and improvement of control strategies across various applications.
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