Lectures related to Riemannian Gradient Descent: Convergence Theorem and Line Search Method

Related lectures (32)

Explores the importance of comparing tangent vectors at different points using algorithms and finite differences.

Explores matrix-based and matrix-free approaches for computing the Newton step in optimization on manifolds.