Overlapping subproblems refer to a characteristic of certain computational problems where the same smaller subproblems are solved multiple times during the process of solving the overall problem. This leads to inefficiencies if each instance of the subproblem is calculated independently. By recognizing these overlapping subproblems, algorithms can optimize performance, especially in dynamic programming, by storing solutions to these subproblems and reusing them as needed.
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