English

New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications

Optimization and Control 2024-05-28 v2 Numerical Analysis Numerical Analysis

Abstract

This paper proposes two innovative vector transport operators, leveraging the Cayley transform, for the generalized Stiefel manifold embedded with a non-standard metric. Specifically, it introduces the differentiated retraction and an approximation of the Cayley transform to the differentiated matrix exponential. These vector transports are demonstrated to satisfy the Ring-Wirth non-expansive condition under non-standard metrics, and one of them is also isometric. Building upon the novel vector transport operators, we extend the modified Polak-Ribieˋ\grave{e}re-Polyak (PRP) conjugate gradient method to the generalized Stiefel manifold. Under a non-monotone line search condition, we prove our algorithm globally converges to a stationary point. The efficiency of the proposed vector transport operators is empirically validated through numerical experiments involving generalized eigenvalue problems and canonical correlation analysis.

Keywords

Cite

@article{arxiv.2311.00907,
  title  = {New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications},
  author = {Xuejie Wang and Kangkang Deng and Zheng Peng and Chengcheng Yan},
  journal= {arXiv preprint arXiv:2311.00907},
  year   = {2024}
}