Dynamic Programming is a mathematical optimization method that solves problems by breaking them into simpler overlapping subproblems. By storing the solutions of these subproblems, the method avoids redundant computations and finds solutions more efficiently. It's especially useful for problems that exhibit the properties of overlapping subproblems and optimal substructure.