Lectures related to Partial derivative

Explains partial derivatives, Hessienne matrix, and their properties.

Covers the concept of functional derivatives and their calculation process with examples.

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

Explores partial derivatives and functions in multivariable calculus, emphasizing their importance and practical applications.

Explores the definition and properties of derivatives, including slopes of tangent lines and differentiability conditions.

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

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

Introduces derivatives, forward contracts, options, and their financial uses.

Covers derivable functions, partial derivatives, Jacobian matrix, and rule of composition.

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

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.