Supporting Hyperplanes

Related lectures (28)

Page 2 of 3

Covers derivatives and continuity in multivariable functions, emphasizing the importance of partial derivatives.

Explores differentiability in analysis, discussing conditions for functions to be differentiable and continuous.

Explores differentiability in functions and the role of gradients in directional derivatives.

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

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

Explains necessary conditions for convergence in optimization problems.

Explores limits, derivation rules, integrals, and exact differentials for practical applications.

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

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

Covers differential calculus applications and reminders, emphasizing the importance of differentiability in mathematical analysis.