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Extragradient-type methods with O1/k last-iterate convergence rates for co-hypomonotone inclusions.

Authors :
Tran-Dinh, Quoc
Source :
Journal of Global Optimization; May2024, Vol. 89 Issue 1, p197-221, 25p
Publication Year :
2024

Abstract

We develop two "Nesterov's accelerated" variants of the well-known extragradient method to approximate a solution of a co-hypomonotone inclusion constituted by the sum of two operators, where one is Lipschitz continuous and the other is possibly multivalued. The first scheme can be viewed as an accelerated variant of Tseng's forward-backward-forward splitting (FBFS) method, while the second one is a Nesterov's accelerated variant of the "past" FBFS scheme, which requires only one evaluation of the Lipschitz operator and one resolvent of the multivalued mapping. Under appropriate conditions on the parameters, we theoretically prove that both algorithms achieve O 1 / k last-iterate convergence rates on the residual norm, where k is the iteration counter. Our results can be viewed as alternatives of a recent class of Halpern-type methods for root-finding problems. For comparison, we also provide a new convergence analysis of the two recent extra-anchored gradient-type methods for solving co-hypomonotone inclusions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09255001
Volume :
89
Issue :
1
Database :
Complementary Index
Journal :
Journal of Global Optimization
Publication Type :
Academic Journal
Accession number :
176911121
Full Text :
https://doi.org/10.1007/s10898-023-01347-z