Lectures related to Local Extremums of Functions in Multivariable Calculus

Covers the conditions for finding absolute extrema in multivariable functions.

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

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

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

Explores applications of differential calculus, including theorems, convexity, extrema, and inflection points.

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

Covers the discussion of local extrema, concavity, convexity, and inflection points in functions.

Explores stationary points, saddle points, symmetric matrices, and orthogonal properties in optimization.

Explores directional derivatives in two-variable functions and extremum points.