Shortest Paths: Bellman-Ford and Dijkstra

Related lectures (29)

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Covers Minimum Spanning Trees, Kruskal's Algorithm, and Shortest Paths in directed graphs.

Explains the Bellman-Ford algorithm for finding the shortest path in a directed graph with edge weights.

Focuses on fixed points in graph theory and their implications in algorithms and analysis.

Introduces the concept of shortest path, discussing weighted paths, Hamiltonian paths, and path optimization algorithms.

Provides an example of the Bellman-Ford algorithm for finding the shortest path in a graph.

Explores Prim's and Kruskal's algorithms for finding minimum spanning trees in a graph, covering their correctness, implementation, and analysis.

Explores coordination in networked control systems, graph theory, and consensus algorithms.

Introduces graph theory, network flows, and flow conservation laws with practical examples and theorems.

Covers the implementation and analysis of disjoint sets data structure and introduces the concept of minimum spanning trees.

Explores the Bellman Ford algorithm for finding the shortest path in graphs with negative edge weights.