Dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems, solving each subproblem once, and storing the results for future use. It works by building up a solution using previously found subsolutions, rather than recomputing them repeatedly. The technique transforms an exponential problem into a polynomial one by storing and reusing previously computed solutions.