Lectures related to Temporal Summation Analysis

Explores automorphism groups in trees and graphs, focusing on ends and types of automorphisms.

Automorphism Groups: Trees and Graphs III

Explores automorphism groups of trees and graphs, including actions on trees and group homomorphisms.

Automorphism groups of trees and graphs II

Explores the uniqueness of trees, automorphism groups, Cayley-Abels graphs, and constructing vertex-transitive subgroups with prescribed local actions.

Graphs: Properties and Representations

Covers graph properties, representations, and traversal algorithms using BFS and DFS.

Graphs in Deep Learning: Applications and Techniques

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

Pseudorandomness: Theory and Applications

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

Real Functions: Graphs and Properties

Explores real functions, their graphs, properties, and transformations, including symmetry and surjection.

Iterated Integrals: Order and Domains

Explores iterated integrals, order, domains, and symmetrical roles of variables in 2D space.

Graphical Models: Representing Probabilistic Distributions

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Automorphism groups of trees and graphs

Explores automorphisms of graphs, focusing on automorphism groups, Cayley-Abels graphs, and quasi-isometry.

Topological Scattering: From Graphs to Networks

Covers defining topological phases for photonic systems using unitary scattering matrices, transitioning from graphs to networks.

Partial Derivatives: Understanding Tangents

Explores partial derivatives and their role in determining tangents to graphs.

General Mathematics I: Derivatives and Tangents

Explores derivatives, tangents, and elementary function rules in general mathematics.

Level Curves and Graphs of Functions

Covers level curves and graphs of functions in two and three dimensions.

Function Properties: Injective, Surjective, Bijective

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

Renormalization: AQFT

Covers the concept of renormalization in Algebraic Quantum Field Theory.

Calibration Resolution: Hydrologic Parameters Optimization

Covers the calibration of hydrologic models through parameter optimization and post-simulation analysis.

Optimization of Pseudometrics in Graphs

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

Functions: Real Numbers and Graphs

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

Graphs: Injection and Surjection

Explains injectivity and surjectivity criteria in functions using graphical representations.