English

Douglas--Rachford Splitting and ADMM for Pathological Convex Optimization

Optimization and Control 2019-09-11 v3

Abstract

Despite the vast literature on DRS and ADMM, there has been very little work analyzing their behavior under pathologies. Most analyses assume a primal solution exists, a dual solution exists, and strong duality holds. When these assumptions are not met, i.e., under pathologies, the theory often breaks down and the empirical performance may degrade significantly. In this paper, we establish that DRS only requires strong duality to work, in the sense that asymptotically iterates are approximately feasible and approximately optimal.

Keywords

Cite

@article{arxiv.1801.06618,
  title  = {Douglas--Rachford Splitting and ADMM for Pathological Convex Optimization},
  author = {Ernest K. Ryu and Yanli Liu and Wotao Yin},
  journal= {arXiv preprint arXiv:1801.06618},
  year   = {2019}
}

Comments

Published in Computational Optimization and Applications

R2 v1 2026-06-22T23:50:33.616Z