A relative-error inexact ADMM splitting algorithm for convex optimization with inertial effects

Fuente: arXiv
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Autori principali: Alves, M. Marques, Geremia, M.
Natura: Preprint
Pubblicazione: 2024
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author Alves, M. Marques
Geremia, M.
author_facet Alves, M. Marques
Geremia, M.
contents We propose a new relative-error inexact version of the alternating direction method of multipliers (ADMM) for convex optimization. We prove the asymptotic convergence of our main algorithm as well as pointwise and ergodic iteration-complexities for residuals. We also justify the effectiveness of the proposed algorithm through some preliminary numerical experiments on regression problems.
format Preprint
id arxiv_https___arxiv_org_abs_2409_10311
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A relative-error inexact ADMM splitting algorithm for convex optimization with inertial effects
Alves, M. Marques
Geremia, M.
Optimization and Control
We propose a new relative-error inexact version of the alternating direction method of multipliers (ADMM) for convex optimization. We prove the asymptotic convergence of our main algorithm as well as pointwise and ergodic iteration-complexities for residuals. We also justify the effectiveness of the proposed algorithm through some preliminary numerical experiments on regression problems.
title A relative-error inexact ADMM splitting algorithm for convex optimization with inertial effects
topic Optimization and Control
url https://arxiv.org/abs/2409.10311