math.OC · 2026-06-10 · No. 19

Optimization and Control, 2026-06-10.

1 new papers in math.OC. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Accelerating SAV-based optimization via randomized low-rank Hessian approximation

    Ryo Sagawa, Daisuke Furihata, Yuto Miyatake

    math.OC · cs.LG · math.NA

    We propose a new optimization method, the Nyström-enhanced relaxed scalar auxiliary variable method (N-RSAV), which incorporates curvature information into the RSAV framework to accelerate convergence while preserving an unconditional modified energy dissipation law. Existing RSAV-based methods rely solely on first-order information and often suffer from slow convergence, particularly for ill-conditioned problems such as those arising in...

    arxiv.org/abs/2606.10562 · PDF

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