Sparsest Cut: ARV Theorem

Related lectures (28)

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Covers the Leighton-Rao algorithm for finding the sparsest cut in a graph, focusing on its steps and theoretical foundations.

Explores Bourgain's theorem on sparsest cut in graphs, emphasizing semimetrics and cut optimization.

Explores the convergence of random walks on graphs and the properties of weighted adjacency matrices.

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

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

Covers the concept of graph sketching with a focus on connected components.

Explores Cheeger's inequalities for random walks on graphs and their implications.

Explores mapping functions, surjections, injective and surjective functions, and bijective functions.

Explores Cheeger's inequality and its implications in graph theory.

Introduces Cartesian product and induction for proofs using integers and sets.