Lectures related to Matching in hypergraphs

Explains message passing in graphical models and the matching problem in graph theory.

Covers linear programming duality and complementary slackness condition.

Explores the Ford-Fulkerson method, max-flow, applications of max-flow, and the disjoint-set data structure.

Explores the Max-flow Min-cut theorem, integral capacities, Ford-Fulkerson method, bipartite matching, and edge-disjoint paths.

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

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

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