Author

Guoxiang Xu

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Preprint Aug 2026

RODE: A Radial-Orthogonal Decoupled Engine for Optimization

This work introduces RODE, which gives the radial and directional components separate update rules and step sizes in the matrix Frobenius norm, and suggests that decoupling radial and directional dynamics offers a more effective and controllable approach to matrix optimization.

Guo-Xiang Xu, Bince Qu, Qi Sun et al. · 0 citations