Lecture
This lecture covers the concept of the Hessian, a linear operator, and its application in Newton's method for optimization. The Hessian is a symmetric linear map with real eigenvalues. Newton's method aims to solve equations of the form f(x) = 0 using iterative processes. The lecture also discusses Lipschitz continuity of Hessians and the local convergence rate of Newton's method.