Partial derivative

Related lectures (30)

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

Covers derivatives pricing, replication, and interpretation, including examples of call options, forward contracts, and put options.

Introduces the gradient concept and the Theorem of Mean Value for functions in several variables.

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

Covers partial derivatives, gradient, and second partial derivatives with their applications.

Introduces partial differential equations, covering derivatives, special cases, transformations, and the Jacobian matrix.

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

Explores derivatives, functions, limits, and tangent lines in calculus.

Introduces partial derivatives, directional derivatives, and differentiability of functions with examples and the Schwartz theorem.

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