Graph splitting methods: Fixed points and strong convergence for linear subspaces

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Aragón-Artacho, Francisco J., Bauschke, Heinz H., Campoy, Rubén, López-Pastor, César
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866908877312753664
author Aragón-Artacho, Francisco J.
Bauschke, Heinz H.
Campoy, Rubén
López-Pastor, César
author_facet Aragón-Artacho, Francisco J.
Bauschke, Heinz H.
Campoy, Rubén
López-Pastor, César
contents In this paper, we develop a general analysis for the fixed points of the operators defining the graph splitting methods from [SIAM J. Optim., 34 (2024), pp. 1569-1594] by Bredies, Chenchene and Naldi. We particularize it to the case where the maximally monotone operators are normal cones of closed linear subspaces and provide an explicit formula for the limit points of the graph splitting schemes. We exemplify these results on some particular algorithms, unifying in this way some results previously derived as well as obtaining new ones.
format Preprint
id arxiv_https___arxiv_org_abs_2505_16564
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Graph splitting methods: Fixed points and strong convergence for linear subspaces
Aragón-Artacho, Francisco J.
Bauschke, Heinz H.
Campoy, Rubén
López-Pastor, César
Optimization and Control
47H05, 47H09, 47N10, 65K05, 90C25
In this paper, we develop a general analysis for the fixed points of the operators defining the graph splitting methods from [SIAM J. Optim., 34 (2024), pp. 1569-1594] by Bredies, Chenchene and Naldi. We particularize it to the case where the maximally monotone operators are normal cones of closed linear subspaces and provide an explicit formula for the limit points of the graph splitting schemes. We exemplify these results on some particular algorithms, unifying in this way some results previously derived as well as obtaining new ones.
title Graph splitting methods: Fixed points and strong convergence for linear subspaces
topic Optimization and Control
47H05, 47H09, 47N10, 65K05, 90C25
url https://arxiv.org/abs/2505.16564