Optimization on ManifoldsCovers optimization on manifolds, focusing on smooth manifolds and functions, and the process of gradient descent.
Riemannian connectionsExplores Riemannian connections on manifolds, emphasizing smoothness and compatibility with the metric.
Gradient DescentExplores gradient descent methods for optimizing functions on manifolds, emphasizing small gradient guarantees and global convergence.
Bird's-eye view and aimsCovers optimization on manifolds, smoothness, tools needed for optimization, and advanced algorithms using Hessians and Riemannian connections.