Counting with Recurrence Relations: Summary

Related lectures (27)

Page 2 of 3

Explains linear homogeneous recurrence relations and provides solving techniques and examples.

Explores generating functions, Laplace transform, and their role in probability distributions.

Explores Ramanujan graphs, generating functions, non-backtracking walks, and expander graphs in relation to NP-hard problems.

Explores the technical derivation and properties of Multivariate Extreme Value models.

Explores generating functions for moments and cumulants, showcasing their role in distribution analysis.

Explores linear homogeneous recurrence relations, solving techniques, characteristic equations, and examples like Fibonacci numbers.

Covers the pentagonal number theorem, Jacobi identity, and modularity of eta and theta functions.

Explores meromorphic functions, poles, residues, orders, divisors, and the Riemann-Roch theorem.

Covers moment and cumulant generating functions for random variables, enabling calculation of moments and cumulants.

Explores the origin of functions, continuity, differentiability, and the physical representation of chemical bonds.