Lectures related to Local Extrema of Multivariable Functions

Covers the optimization of functions, focusing on finding the maximum and minimum values over a given domain.

Explores stationary points, saddle points, symmetric matrices, and orthogonal properties in optimization.

Covers Taylor's formula, developments, and extrema of functions, discussing convexity and concavity.

Explores derivatives and approximations, focusing on logarithmic functions and their properties.

Covers the analysis of stationary points in functions, focusing on optimization methods.

Covers the application of Taylor's formula, including composition of functions and detecting local extrema.