Lectures related to Max/min: optimization

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

Covers the concepts of limits and continuity, focusing on the demonstration of various theorems.

Explores partial derivatives and functions in multivariable calculus, emphasizing their importance and practical applications.

Explores functions of class C^p, emphasizing continuity and differentiability properties.

Covers the concept of partial derivatives and their applications in mathematical analysis.

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

Introduces gradient, Laplacian, Taylor formula, polynomial approximations, extrema, and Taylor series expansions in multiple variables.

Explores partial derivatives, Taylor formula, examples, and extrema of functions.

Covers the concept of functional derivatives and their calculation process with examples.

Explores derivatives, functions, limits, and tangent lines in calculus.

Covers the Implicit Functions Theorem, explaining how equations can define functions implicitly.

Explores continuity, differentiability, boundedness, and extrema of functions in multiple variables.

Explores the conditions for continuity and differentiability of functions on a closed interval.

Covers differentiability, derivatives, continuity, and matrices in functions from R^n to R^m.

Explores derivatives, reciprocal functions, and continuity of functions with examples and formulas.

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

Covers differentiability of functions in two variables and the conditions for a function to be differentiable.

Covers the first 6 multiple-choice questions for Analyse 1 in 2018.

Explores functions, derivatives, classes in neighborhoods, and compound functions.

Covers the theorem of the intermediate value, corollaries, and geometric interpretation of derivatives.