Matroids: Matroid Intersection

Related lectures (29)

Page 2 of 3

Covers recent advancements in the dimer model, emphasizing its applications in probability and conformal field theory.

Covers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.

Covers optimization algorithms, stable matching, and Big-O notation for algorithm efficiency.

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

Explores the Szemerédi Regularity Lemma, e-regularity in bipartite graphs, supergraph structure, and induction techniques.

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

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

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

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

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