Differentiability: Partial Derivatives and Hessiennes

Related lectures (28)

Page 2 of 3

Introduces and summarizes differential calculus, covering continuous functions, limits, differentiability, and tangent planes.

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

Covers derivatives and continuity in multivariable functions, emphasizing the importance of partial derivatives.

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

Covers partial derivatives, differentiability, differential equations, sets properties, and local extrema verification.

Explores functions with values in R^m, gradients, derivatives, and the Jacobian matrix in multiple dimensions.

Explores directional derivatives, their calculation, examples, and cases of lack of continuity.

Explores partial derivatives and derivability of functions, emphasizing geometric interpretations and avoiding common pitfalls.

Covers partial derivatives for functions of one and two variables, emphasizing their importance and calculation.

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