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Cavity Method: Mean Field Theory
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Related lectures (29)
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Differentiable Functions and Lagrange Multipliers
Covers differentiable functions, extreme points, and the Lagrange multiplier method for optimization.
Scaling & Renormalization in Statistical Mechanics
Explores scaling and renormalization in statistical mechanics, emphasizing critical points and invariant properties.
Polynomial Identity Testing
Covers polynomial identity testing using oracles and random point evaluation, with applications in graph theory and algorithmic aspects.
Shortest Path Algorithms: BFS and Dijkstra
Explores Breadth-First Search and Dijkstra's algorithm for finding shortest paths in graphs.
Graph Algorithms II: Traversal and Paths
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Connectivity in Graph Theory
Covers the fundamentals of connectivity in graph theory, including paths, cycles, and spanning trees.
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.
Belief Propagation
Explores Belief Propagation in graphical models, factor graphs, spin glass examples, Boltzmann distributions, and graph coloring properties.
Stein Algorithm: Polynomial Identity Testing
Explores the Stein algorithm for polynomial identity testing and the minimization of a cut problem.
Graphs: Properties and Representations
Covers graph properties, representations, and traversal algorithms using BFS and DFS.