Cheeger's Inequalities

Related lectures (29)

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

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

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

Explores Belief Propagation in graphical models, factor graphs, spin glass examples, Boltzmann distributions, and graph coloring properties.

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

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

Discusses Union-Find data structures and Minimum Spanning Trees, covering algorithms and their applications in network design and optimization.

Covers graphical models for probability distributions and factor graphs representation.

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

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