Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs

Fuente: arXiv
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Hauptverfasser: Lee, Jongmin, Yi, Soheun, Ryu, Ernest K.
Format: Preprint
Veröffentlicht: 2022
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author Lee, Jongmin
Yi, Soheun
Ryu, Ernest K.
author_facet Lee, Jongmin
Yi, Soheun
Ryu, Ernest K.
contents Davis-Yin splitting (DYS) has found a wide range of applications in optimization, but its linear rates of convergence have not been studied extensively. The scaled relative graph (SRG) simplifies the convergence analysis of operator splitting methods by mapping the action of the operator onto the complex plane, but the prior SRG theory did not fully apply to the DYS operator. In this work, we formalize an SRG theory for the DYS operator and use it to obtain tighter contraction factors.
format Preprint
id arxiv_https___arxiv_org_abs_2207_04015
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs
Lee, Jongmin
Yi, Soheun
Ryu, Ernest K.
Optimization and Control
Davis-Yin splitting (DYS) has found a wide range of applications in optimization, but its linear rates of convergence have not been studied extensively. The scaled relative graph (SRG) simplifies the convergence analysis of operator splitting methods by mapping the action of the operator onto the complex plane, but the prior SRG theory did not fully apply to the DYS operator. In this work, we formalize an SRG theory for the DYS operator and use it to obtain tighter contraction factors.
title Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs
topic Optimization and Control
url https://arxiv.org/abs/2207.04015