Solution: Cheapest Flights Within K Stops

Explore how dynamic programming can solve the problem of finding the cheapest flight path within a limited number of stops. This lesson walks you through a Bellman-Ford-style approach that relaxes flight edges iteratively to enforce stop constraints and compute the minimum cost efficiently. By completing this lesson, you will understand how to model flight routes as a directed weighted graph and apply dynamic programming techniques for constrained shortest paths.