Differentiability Analysis

Related lectures (22)

Page 1 of 3

Explores the definition and derivability of functions in differential calculus, emphasizing differentiability at specific points.

Explores differentiability, gradients, and the Mean Value Theorem for functions.

Explores differentiability, gradients, and the Mean Value Theorem in open sets.

Explores finding the equation of the tangent line to a function's graph at a point.

Explains partial derivatives, Hessienne matrix, and their properties.

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

Covers the differentiability of functions of multiple variables and the significance of directional derivatives and gradients.

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

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

Explains differentiability in LR functions and introduces the Jacobian matrix.