Chain RulesExplores the extension of the chain rule to higher dimensions and compositions of functions.
Linear MM SE EstimationCovers the principles of linear MM SE estimation and the minimization of errors in linear regression.
Derivatives and ContinuityCovers continuous differentiability, the Bernoulli-l'Hôpital rule, and finding extrema using derivatives.
Taylor expansions: second orderExplores Taylor expansions and retractions on Riemannian manifolds, emphasizing second-order approximations and covariant derivatives.
Convexity and JacobiansExplores convexity, Jacobians, subdifferentials, and convergence rates in optimization and function analysis.