A Riemannian conjugate gradient method for optimization on the Stiefel manifold

2016/11/10 by Xiaojing Zhu · 6 citations

paper · doi:10.1007/s10589-016-9883-4

Cited by

• A Riemannian conjugate subgradient method for nonconvex and nonsmooth optimization on manifolds
• Robust Design of Beyond-Diagonal Reconfigurable Intelligent Surface Empowered RSMA-SWIPT System Under Channel Estimation Errors
• Diagonal Isometric Form for Tensor Product States in Two Dimensions
• Solving the Gross-Pitaevskii Equation with Quantic Tensor Trains: Ground States and Nonlinear Dynamics
• Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking
• Accelerating Newton-Schulz Iteration for Orthogonalization via Chebyshev-type Polynomials