Spin Model Exercises

Related lectures (18)

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

Introduces unweighted bipartite matching and its solution using linear programming and the simplex method.

Covers the formulation of optimization programs for minimizing piecewise linear cost functions.

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

Discusses the Ford-Fulkerson method and strongly connected components in graph algorithms.

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

Explores directed networks with asymmetric relationships and hypergraphs that generalize graphs by allowing edges to connect any subset of nodes.

Covers definitions and examples of real functions of several real variables, including limits and visualization techniques.