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Dynamic Programming is a technique used in problem-solving, where we divide a complex problem into smaller overlapping subproblems and store the solutions to those subproblems. By solving the subproblems only once and reusing their solutions, we can optimize the overall solution.

Dynamic Programming allows us to solve __ problems more efficiently by breaking them down into simpler subproblems. By storing the solutions to these subproblems, we eliminate redundant computations and improve the performance of our solutions.