Partial Derivatives: Extrema and Hessians

Related lectures (28)

Page 2 of 3

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

Explains necessary conditions for convergence in optimization problems.

Explores limits, derivation rules, integrals, and exact differentials for practical applications.

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

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

Explores functions of class C^p, Hessian matrices, and methods to verify differentiability at a point.

Explores derivatives, local extrema, and convexity in functions, including Taylor's formula and function compositions.

Covers partial derivatives, Hessian matrices, and their importance for functions with multiple variables.

Covers derivatives, differentiability, and tangent planes for functions of one and two variables.

Covers derivatives, continuity, Rolle's Theorem, function examples, and extrema.