Explores the marriage problem, where a bride must strategically accept suitors to maximize her chances of selecting the best one.
Covers handling network data, types of graphs, centrality measures, and properties of real-world networks.
Explores the marriage problem, modeling the process as a controlled stochastic process with dynamic programming algorithms to find the optimal policy for accepting bachelors.
Explores the Szemerédi Regularity Lemma, e-regularity in bipartite graphs, supergraph structure, and induction techniques.
Explores linear programming duality, covering constraints, variables, solutions, and the relationship between primal and dual LP.
