Lectures related to Automorphism groups: Trees and Graphs

Covers the concept of renormalization in Algebraic Quantum Field Theory.

Explains injective, surjective, and bijective functions using examples and graphs.

Covers deep learning concepts, focusing on graphs, transformers, and their applications in multimodal data processing.

Covers the optimization of pseudometrics in graphs, focusing on minimizing pseudometrics and the shortest path metric.

Covers functions of real numbers, graphing, and affine functions.

Explores essential chief series in tdlc groups, focusing on closed, normal subgroups and their chief factors.

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

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