Lectures related to Periodic Functions and Extrema Analysis

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

Covers the analysis of functions, composition, and mathematical induction.

Covers functions, including even and odd functions, periodicity, and function operations.

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

Covers derivatives and continuity in multivariable functions, emphasizing the importance of partial derivatives.

Covers the properties and operations of convex functions.

Covers the definitions and basic properties of real functions, including domain, image set, notation, and graph.

Covers the method of Lagrange multipliers to find extrema subject to constraints.

Covers control structures, loops, and functions in C language, emphasizing the importance of local variables and avoiding global variables.

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

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

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

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

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

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

Provides an overview of analysis and algebra courses, focusing on real numbers, limits, functions, and exams.

Explores techniques for minimizing functions and finding critical points.

Explores real functions, covering parity, periodicity, and polynomial functions.

Explores Taylor series, function properties, inflection points, and critical points in graphical and mathematical contexts.

Covers the terminology related to the graph of a function and intervals.