Hybrid Riemannian conjugate gradient methods with global convergence properties

Global Optimization with Orthogonality Constraints via Stochastic Diffusion on Manifold

(2019) Honglin Yuan et al.   JOURNAL OF SCIENTIFIC COMPUTING

A Dai–Yuan-type Riemannian conjugate gradient method with the weak Wolfe conditions

(2015) Hiroyuki Sato   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Analysis Operator Learning and its Application to Image Reconstruction

(2013) S. Hawe et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A new, globally convergent Riemannian conjugate gradient method

(2013) Hiroyuki Sato et al.   OPTIMIZATION

Low-Rank Matrix Completion by Riemannian Optimization

(2013) Bart Vandereycken   SIAM JOURNAL ON OPTIMIZATION

Optimization Methods on Riemannian Manifolds and Their Application to Shape Space

(2012) Wolfgang Ring et al.   SIAM JOURNAL ON OPTIMIZATION

Descent Algorithms on Oblique Manifold for Source-Adaptive ICA Contrast

(2012) S. E. Selvan et al.   IEEE Transactions on Neural Networks and Learning Systems