Shortest path, Longest path

This lecture discusses the transformation of a shortest path problem into a longest path problem in optimization. It explains the implications of changing the objective from minimizing to maximizing cost, the definition of shortest and longest path problems, the importance of finding a simple path, and the risk of negative cost cycles. The instructor provides examples and explains how solving the longest path problem is equivalent to solving the shortest path problem with negative costs.