Partial Differentiation

Related lectures (26)

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Explores simple examples of partial differentiation, demonstrating how to calculate partial derivatives and gradients in various scenarios.

Explains partial derivatives, Hessienne matrix, and their properties.

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

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

Covers hessian matrices, positive definite matrices, and local extrema of functions.

Explores second order approximations for twice differentiable functions using the Hessian matrix.

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

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

Explores differentiability, matrices, and composite functions through examples and mathematical notations.

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