Derivatives of Functions: Differentiability and Matrices

Related lectures (29)

Page 1 of 3

Explains partial derivatives, Hessienne matrix, and their properties.

Covers differentiability, derivatives, continuity, and matrices in functions from R^n to R^m.

Covers derivatives, notations, composition of functions, and multiple derivatives in advanced analysis.

Explores differentiability in two variables and the chain rule for compositions.

Covers differentiability, composition of functions, partial derivatives, Jacobian matrix, and polar coordinates.

Explores functions of class C^p, emphasizing continuity and differentiability properties.

Covers differentiability of functions in two variables and the conditions for a function to be differentiable.

Covers the definition and properties of differentiable functions, focusing on differentiability, limits, continuity, and partial derivatives.

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

Explains differentiability in LR functions and introduces the Jacobian matrix.