Dynamic programming stores partial results to avoid recalculating the same values multiple times. This technique is especially useful in problems like the Fibonacci sequence, where overlapping subproblems can be solved more efficiently by saving results. Divide and conquer algorithms also solve subproblems but do not typically store intermediate results.