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Lecture
Belief Propagation on Graphs
Graph Chatbot
Related lectures (32)
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Sparsest Cut: ARV Theorem
Covers the proof of the Bourgain's ARV Theorem, focusing on the finite set of points in a semi-metric space and the application of the ARV algorithm to find the sparsest cut in a graph.
Information Theory: Basics
Covers the basics of information theory, entropy, and fixed points in graph colorings and the Ising model.
Distances and Motif Counts
Explores distances on graphs, cut norms, spanning trees, blockmodels, metrics, norms, and ERGMs in network data analysis.
Assembly: Physics of Manufacturing
Discusses the importance of assembly in manufacturing and covers common couplings, stability, and spatial vectors.
Random Field Ising Model on Graphs
Explores the Random Field Ising Model on random graphs, discussing belief propagation updates and population dynamics.
Fixed Points in Graph Theory
Focuses on fixed points in graph theory and their implications in algorithms and analysis.
Interlacing Families and Ramanujan Graphs
Explores interlacing families, Ramanujan graphs, and their construction using signed adjacency matrices.
Unweighted Bipartite Matching
Introduces unweighted bipartite matching and its solution using linear programming and the simplex method.
Networks, Flows
Covers the definition of flow in a network and flow calculation.
Graph Theory: Path Weighted by Amplitude
Covers the calculation of paths in a graph, focusing on amplitude-weighted paths.
