English

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems

Optimization and Control 2025-06-03 v1

Abstract

The part of the analysis of the convergence rate of the mirror descent method that is connected with the adaptive time-varying step size rules due to Alkousa et al. (MOTOR 2024, pp. 3-18) is corrected. Moreover, a Lipschitz-free mirror descent method that achieves weak ergodic convergence is presented, generalizing the convergence results of the mirror descent method in the absence of the Lipschitz assumption.

Keywords

Cite

@article{arxiv.2506.01681,
  title  = {Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems},
  author = {Bowen Yuan and Mohammad S. Alkousa},
  journal= {arXiv preprint arXiv:2506.01681},
  year   = {2025}
}

Comments

arXiv admin note: text overlap with arXiv:2401.04754

R2 v1 2026-07-01T02:54:28.096Z