Lectures related to Local Extrema of Functions

Explores periodic functions and extrema analysis in functions.

Explains extrema of functions in several variables, stationary points, saddle points, and the role of the Hessian matrix.

Discusses optimization techniques, focusing on local and global extrema in functions.

Explains local extrema, translations of functions, and function reflections.

Covers differentiable functions, extreme points, and the Lagrange multiplier method for optimization.

Discusses local extrema of functions in two variables around the point (0,0).

Covers the concept of extrema of functions, including local and global maxima and minima.

Covers the conditions for finding absolute extrema in multivariable functions.

Focuses on determining local extremum points of functions through various examples.

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

Covers necessary conditions for extrema and provides illustrative examples.

Explores the conditions for local extrema of functions in several variables, including critical points and the Hessian matrix.

Explains how to find local extrema of functions using derivatives and critical points.

Covers Rolle's Theorem and the Mean Value Theorem, discussing stationary points and extrema.

Explores finding extrema of functions over compact sets and edge parametrization.

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

Covers the definition of extremum of a function and necessary conditions for local extrema.

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

Explores the terminology of extrema lies and optimization problems with constraints.

Explores the convergence criteria and the importance of continuity in sequences near a point xo.