Dynamic Programming is a powerful algorithmic technique used to solve complex problems efficiently. The bottom-up approach starts by solving the smallest subproblems first, then uses these solutions to build up to larger subproblems, eventually reaching the final solution. This method is characterized by overlapping subproblems, optimal substructure, and the storage of intermediate results to avoid redundant calculations.