dynamic-programming

Dynamic programming is an optimization approach used in algorithm design, aiming to solve problems by dividing them into overlapping subproblems. It stores the results of these subproblems to avoid redundant computations, significantly improving efficiency compared to naive methods. This technique is often misconceived as applicable only to combinatorial problems, but it can also be used in various fields such as economics and genetics.