A comparative numerical study of graph-based splitting algorithms for linear subspaces

Fuente: arXiv
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Auteurs principaux: Aragón-Artacho, Francisco J., Campoy, Rubén, López-Larios, Irene, López-Pastor, César
Format: Preprint
Publié: 2026
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author Aragón-Artacho, Francisco J.
Campoy, Rubén
López-Larios, Irene
López-Pastor, César
author_facet Aragón-Artacho, Francisco J.
Campoy, Rubén
López-Larios, Irene
López-Pastor, César
contents In this note, we test the performance of six algorithms from the family of graph-based splitting methods [SIAM J. Optim., 34 (2024), pp. 1569-1594] specialized to normal cones of linear subspaces. To do this, we first implement some numerical experiments to determine the best relaxation parameter for each algorithm. Then, we compare the number of iterations each algorithm requires to reach a given stopping criterion, using the previously identified best relaxation parameter. The numerical results allow us to identify some relevant patterns and provide numerical evidence that may guide further theoretical analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2603_04231
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A comparative numerical study of graph-based splitting algorithms for linear subspaces
Aragón-Artacho, Francisco J.
Campoy, Rubén
López-Larios, Irene
López-Pastor, César
Numerical Analysis
In this note, we test the performance of six algorithms from the family of graph-based splitting methods [SIAM J. Optim., 34 (2024), pp. 1569-1594] specialized to normal cones of linear subspaces. To do this, we first implement some numerical experiments to determine the best relaxation parameter for each algorithm. Then, we compare the number of iterations each algorithm requires to reach a given stopping criterion, using the previously identified best relaxation parameter. The numerical results allow us to identify some relevant patterns and provide numerical evidence that may guide further theoretical analysis.
title A comparative numerical study of graph-based splitting algorithms for linear subspaces
topic Numerical Analysis
url https://arxiv.org/abs/2603.04231