Marriage Problem: Gale Shapley Algorithm

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Explores the optimality of the greedy change-making algorithm and the stability of maximum matching.

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

Covers the concept of stable matchings and the Gale-Shapley algorithm.

Covers the concept of stable matchings and the Gale-Shapley algorithm.

Covers the concept of matroids, focusing on matroid intersection and the properties of subsets of a ground set.

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

Explores the marriage problem, where a bride must strategically accept suitors to maximize her chances of selecting the best one.

Covers linear programming, weighted bipartite matching, and vertex cover problems in optimization.

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

Explores graphical models, factor graphs, and probabilistic inferences in complex systems.