Graph Theory and Network Flows

Related lectures (28)

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

Covers graph algorithms, modeling relationships between objects, and traversal techniques like BFS and DFS.

Introduces the basics of graphs and networks, covering definitions, paths, trees, flows, circulation, and spanning trees.

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Explores interlacing families of polynomials and 1-sided Ramanujan graphs, focusing on their properties and construction methods.

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

Covers the fundamentals of connectivity in graph theory, including paths, cycles, and spanning trees.

Explores graph traversal methods, spanning trees, and shortest paths using BFS and DFS.

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

Covers the concept of maximum flow-minimum cut in directed graphs with capacity constraints.