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math.OC2026
Convergence of cyclic steepest descent for quadratics with two distinct eigenvalues
Yu Li, Qihang Wang
The cyclic steepest descent method computes the exact steepest descent stepsize at the start of each cycle and reuses it for a fixed number of iterations. We study this met…
math.OC2026
Riemannian Momentum Tracking: Distributed Optimization with Momentum on Compact Submanifolds
Jun Chen, Tianyi Zhu, Haishan Ye +5
Gradient descent with momentum has been widely applied in various signal processing and machine learning tasks, demonstrating a notable empirical advantage over standard gradient d…