Graphs: BFS

Related lectures (29)

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Explores properties of matrices, irreducibility, and graph connectivity in networked control systems.

Discusses the Ford-Fulkerson method and strongly connected components in graph algorithms.

Introduces network data structures, models, and analysis techniques, emphasizing permutation invariance and Erdős-Rényi networks.

Explores expanders, Ramanujan graphs, eigenvalues, Laplacian matrices, and spectral properties.

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

Introduces Spectral Graph Theory, exploring eigenvalues and eigenvectors' role in graph properties.

Explores pseudorandomness and the Expander Mixing Lemma in the context of d-regular graphs.

Discusses graph algorithms, focusing on flow networks and strongly connected components.

Explores interlacing families, Ramanujan graphs, and their construction using signed adjacency matrices.

Explores isogenic graphs, spectral properties, and mathematical applications in modular forms and cryptography.