Partial Derivatives and Gradient

Related lectures (22)

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

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

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 differentiability theorems and methods to check for differentiability in functions.

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

Explores the properties and methods of differentiable functions, including strong recurrence and demonstration techniques.

Covers the Laplacian operator in polar and spherical coordinates, focusing on derivatives and integral calculations.

Explains partial derivatives, generalization, and second order derivatives with examples and mathematical notations.

Presents the solution to finding the second-order Taylor polynomial of a function.