Lectures related to Regular Graphs: Self-complementary

Covers handling network data, types of graphs, centrality measures, and properties of real-world networks.

Distinguishes between subgraphs and induced subgraphs in graph theory, illustrating the construction of minimal spanning trees.

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

Introduces network data structures, models, and analysis techniques, emphasizing permutation invariance and Erdős-Rényi networks.

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

Covers the analysis of temporal summations in bio mechanics.

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

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

Covers the concept of graph isomorphisms, explaining the definition, notation, examples, computational complexity, and number of isomorphism classes.