MATLAB Implementation of Dynamic Programming with Case Studies
Application Context: Dynamic programming is an optimization method for solving multi-stage decision-making processes, initially proposed by American mathematician R. Bellman in the early 1950s. This methodology established a new branch of operations research by successfully addressing practical challenges in production management and resource allocation. Key Technology: As a crucial decision-making tool in modern enterprise management, dynamic programming effectively solves problems including optimal path finding, resource allocation, production planning, inventory control, and investment optimization. Its unique problem-solving approach often outperforms linear programming for specific optimization scenarios.