Process Unit Models: Degrees of Freedom

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Covers the transhipment problem, optimal solutions, and total unimodularity in matrices.

Explores graphs and matrices, including adjacency, degree, and Laplace matrices, Matrix-tree theorem, and spanning trees.

Explores the Laplacian matrix and consensus in networked control systems.

Explores properties of matrices, irreducibility, and graph connectivity in networked control systems.

Covers the transhipment problem, the incidence matrix, and total unimodularity.

Explores the role of graphs in deep learning, focusing on their structure, applications, and techniques for processing graph data.

Introduces the basics of graphs and networks, covering definitions, paths, trees, flows, circulation, and spanning trees.