A Preconditioned Riemannian Gradient Descent Algorithm for Low-Rank Matrix Recovery

Fengmiao Bian, Jian-Feng Cai, Rui Zhang

The low-rank matrix recovery problem often arises in various fields, including signal processing, machine learning, and imaging science. The Riemannian gradient descent (RGD) algor…