Lectures related to Implicit Examples: Hyperplane and Stationary Points

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

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

Explains partial derivatives, Hessienne matrix, and their properties.

Covers linear approximation, parametric derivatives, and differentiability conditions on intervals.

Discusses extrema of functions with multiple variables and the hessian matrix.

Covers Fermat's theorem, necessary optimality conditions, convexity, and eigenvalue curvature in optimization.

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