Lectures related to Partial Derivatives and Matrix Hessians

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

Explores partial derivatives of functions with multiple variables, emphasizing their definitions and properties.

Introduces gradient, Laplacian, Taylor formula, polynomial approximations, extrema, and Taylor series expansions in multiple variables.

Explores the geometric interpretation of derivatives and properties of derivable functions.