The Kantorovich method is a mathematical approach used to solve optimization problems, particularly in the field of linear programming. Named after the Russian mathematician Leonid Kantorovich, this method focuses on finding the best possible solution to problems involving resource allocation, where the goal is to minimize costs or maximize profits while satisfying certain constraints. This method employs techniques from functional analysis and involves transforming the original problem into a more manageable form. By using duality principles, the Kantorovich method can efficiently handle large-scale problems, making it a valuable tool in operations research and economics, among other fields.