Lecture
This lecture covers second order approximations for twice differentiable functions, focusing on the Hessian matrix. It explains the definition of C^1(U) functions, partial derivatives, and symmetric matrices. The instructor demonstrates the application of the Hessian matrix in finding second order approximations and proves related theorems.