Exact worst-case convergence rates for Douglas--Rachford and Davis--Yin splitting methods

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Main Authors: Nguyen, Edward Duc Hien, Suh, Jaewook J., Jiang, Xin, Ma, Shiqian
Format: Preprint
Published: 2025
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author Nguyen, Edward Duc Hien
Suh, Jaewook J.
Jiang, Xin
Ma, Shiqian
author_facet Nguyen, Edward Duc Hien
Suh, Jaewook J.
Jiang, Xin
Ma, Shiqian
contents In this work, we aim to establish the exact worst-case convergence rates of Douglas--Rachford splitting (DRS) and Davis--Yin splitting (DYS) when applied to convex optimization problems. Both DRS and DYS have two variants as swapping the roles of the two nonsmooth convex functions in both algorithms yields different sequences of iterates. For both variants of DRS and one variant of DYS, we establish the exact worst-case convergence rates, including the constant factor, using the primal--dual gap function as the performance metric. We provide worst-case examples to verify the tightness of these rates. To the best of our knowledge, this is the first result that establishes the exact worst-case convergence rates for DRS and DYS that include the constant factor. For the other variant of DYS, we establish the best-known convergence rate and provide a concrete example indicating a discrepancy between the convergence rates of the two DYS variants.
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id arxiv_https___arxiv_org_abs_2506_23475
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Exact worst-case convergence rates for Douglas--Rachford and Davis--Yin splitting methods
Nguyen, Edward Duc Hien
Suh, Jaewook J.
Jiang, Xin
Ma, Shiqian
Optimization and Control
In this work, we aim to establish the exact worst-case convergence rates of Douglas--Rachford splitting (DRS) and Davis--Yin splitting (DYS) when applied to convex optimization problems. Both DRS and DYS have two variants as swapping the roles of the two nonsmooth convex functions in both algorithms yields different sequences of iterates. For both variants of DRS and one variant of DYS, we establish the exact worst-case convergence rates, including the constant factor, using the primal--dual gap function as the performance metric. We provide worst-case examples to verify the tightness of these rates. To the best of our knowledge, this is the first result that establishes the exact worst-case convergence rates for DRS and DYS that include the constant factor. For the other variant of DYS, we establish the best-known convergence rate and provide a concrete example indicating a discrepancy between the convergence rates of the two DYS variants.
title Exact worst-case convergence rates for Douglas--Rachford and Davis--Yin splitting methods
topic Optimization and Control
url https://arxiv.org/abs/2506.23475