This lecture covers Dijkstra's algorithm for finding the shortest path in a graph with nonnegative weights, comparing it to Bellman-Ford and Prim's algorithms. It also introduces probabilistic analysis through the Hiring Problem, analyzing the expected number of hires over all candidate permutations.
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