👉 Action math, also known as dynamic programming, is a method used to solve complex problems by breaking them down into simpler subproblems and storing the results of these subproblems to avoid redundant calculations. This technique is particularly useful for optimization problems and decision-making processes, where the same subproblems may be encountered multiple times. By storing solutions to these subproblems in a table or data structure, action math significantly reduces the computational complexity, making it possible to find optimal solutions more efficiently than through brute-force methods. This approach is widely used in fields like computer science, operations research, and economics to tackle problems such as shortest path finding, resource allocation, and scheduling.
