Inexact Riemannian Gradient Descent Method for Nonconvex Optimization

Juan Zhou, Kangkang Deng, Hongxia Wang +1

Gradient descent methods are fundamental first-order optimization algorithms in both Euclidean spaces and Riemannian manifolds. However, the exact gradient is not readily available…