Lectures related to Extremes of Functions: Desirability and Decorability

Covers the resolution of mathematical equations and series convergence.

Discusses generalized fine increments, function evaluation, theorems, and derivative applications.

Covers the properties and operations of convex functions.

Covers the conditions for finding absolute extrema in multivariable functions.

Delves into functions on R^n, covering limits and partial differentiation.

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

Covers limits, continuity, and the intermediate value theorem in functions.

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

Covers the definitions and notations related to functions.

Covers the concept of level sets of functions and their graphical representation.