This lecture covers Newton's method on Riemannian manifolds, focusing on second-order optimality conditions, quadratic convergence, and solving the Newton system using a tangent space and Conjugate Gradient algorithm. The instructor explains retraction properties, intrinsic acceleration, and necessary and sufficient optimality conditions for smooth functions.