Eigenvalues and Sequences

Related lectures (30)

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Explores bipartite graphs, independent sets, Shearer's Lemma, labeled graphs, and entropy analysis.

Explores pseudo randomness in graphs using eigenvalues and polynomials, emphasizing the significance of bunched roots and common interlacers.

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

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

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

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

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

Covers the concept of renormalization in Algebraic Quantum Field Theory.

Covers the analysis of temporal summations in bio mechanics.

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