Shortest Path Problems: Bellman-Ford

This lecture covers the ALL-TO-ONE minimum cost walk problem and the Bellman-Ford algorithm, focusing on solving one-to-one shortest path problems, handling negative cost edges, and discussing the concept of negative cost cycles. The instructor explains the process of setting edge costs, dealing with Hamiltonian paths, and the implications of using destructive pertes. The lecture also delves into the ALL-TO-ONE problem, considering the rectors of shortest paths and the costs associated with edges. Additionally, it explores the concept of feasible solutions and optimal solutions in the context of game control for each edge.