Lectures related to Renormalization: AQFT

Graph Algorithms: Modeling and Representation Log in to Mediaspace to watch this video

Covers the basics of graph algorithms, focusing on modeling and representation of graphs in memory.

Expander Graphs: Properties and Eigenvalues Log in to Mediaspace to watch this video

Explores expanders, Ramanujan graphs, eigenvalues, Laplacian matrices, and spectral properties.

Graphical Models: Probability Distributions and Factor Graphs Log in to Mediaspace to watch this video

Covers graphical models for probability distributions and factor graphs representation.

Statistical Analysis of Network Data: Hypergraphs Log in to Mediaspace to watch this video

Introduces hypergraphs, generalizing graphs by allowing subsets of nodes to form edges and exploring their applications in various fields.

Graph Surfaces: Integration and Vector Calculus Log in to Mediaspace to watch this video

Covers integrating functions over graph surfaces in vector calculus, emphasizing the interpretation of divergence theorem and special cases of domain between two graphs.

Pseudorandomness: Theory and Applications Log in to Mediaspace to watch this video

Explores pseudorandomness theory, AI challenges, pseudo-random graphs, random walks, and matrix properties.