Classes and Functions

Related lectures (30)

Page 1 of 3

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

Covers the conditions for finding absolute extrema in multivariable functions.

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

Explores the Local Inversion Theorem and extremum points in functions.

Illustrates finding hyperplanes for surfaces and determining stationary points.

Explores the Implicit Functions Theorem and properties of hypersurfaces and matrices.

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

Covers implicit curves, regular and critical points, convexity, concavity, and inflection points.

Covers derivatives, reciprocal functions, Rolle's theorem, and extremum local concepts.

Covers Taylor approximation and extrema in multivariable functions with examples.