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Solution: Cheapest Flights Within K Stops

Explore how to solve the cheapest flights problem by applying a dynamic programming method inspired by Bellman-Ford. Understand how to enforce the limit of stops when searching for the minimum travel cost between cities. This lesson guides you to implement and analyze a solution that iteratively relaxes flight paths to find the lowest price within the allowed stops.

Statement

You are given n cities, numbered from 00 to n 1- 1 connected by several flights. You are also given an array flights, where each flight is represented as flights[i] = ...