The Kuhn-Munkres Algorithm, also known as the Hungarian Algorithm, is a method used to solve the assignment problem in combinatorial optimization. This problem involves assigning tasks to agents in a way that minimizes the total cost or maximizes efficiency. The algorithm operates on a cost matrix, systematically improving assignments until an optimal solution is found. Developed by Harold Kuhn and later refined by James Munkres, the algorithm is efficient and works in polynomial time. It is widely used in various fields, including operations research, economics, and computer science, for applications such as resource allocation and scheduling.