Stationary Points Analysis

Related lectures (26)

Page 2 of 3

Explores the classical methods for solving optimization problems, emphasizing the Euler-Lagrange equation and its variants.

Covers Lagrange multipliers for optimizing functions subject to constraints on surfaces.

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

Explores constrained volume problems using Lagrange multipliers to find extrema under constraints in various examples.

Explores trigonometric derivatives, composition of functions, and inflection points in differential calculation.

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

Covers advanced optimization techniques using Lagrange multipliers to find extrema of functions subject to constraints.

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

Covers the theory and applications of optimization with constraints, including key concepts and numerical methods.

Covers the optimization with constraints, focusing on the Karush-Kuhn-Tucker (KKT) conditions.