Unlock: Riemannian Optimization and Manifold Constraints

Optimization on curved spaces: the Stiefel manifold for orthogonal matrices, symmetric positive definite matrices, Riemannian gradient descent, retractions, and why flat-space intuitions break on manifolds. The geometric backbone of Shampoo, Muon, and constrained neural network training.