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A class of shrinking projection extragradient methods for solving non-monotone equilibrium problems in Hilbert spaces

A class of shrinking projection extragradient methods for solving non-monotone equilibrium problems in Hilbert spaces
A class of shrinking projection extragradient methods for solving non-monotone equilibrium problems in Hilbert spaces
A new class of extragradient-type methods is introduced for solving an equilibrium problem in a real Hilbert space without any monotonicity assumption on the equilibrium function. The strategy is to replace the second projection step in the classical extragradient method by a projection onto shrinking convex subsets of the feasible set. Furthermore, to ensure a sufficient decrease on the equilibrium function, a general Armijo-type condition is imposed. This condition is shown to be satisfied for four different linesearches used in the literature. Then, the weak and strong convergence of the resulting algorithms is obtained under non-monotonicity assumptions. Finally, some numerical experiments are reported.
0925-5001
159-178
Strodiot, Jean Jacques
31543686-3a24-46f8-87f7-0c3af6b86c98
Vuong, Phan Tu
52577e5d-ebe9-4a43-b5e7-68aa06cfdcaf
Nguyen, Thi Thu Van
56ca3333-d459-4a9c-9ad5-8a7c6667b7aa
Strodiot, Jean Jacques
31543686-3a24-46f8-87f7-0c3af6b86c98
Vuong, Phan Tu
52577e5d-ebe9-4a43-b5e7-68aa06cfdcaf
Nguyen, Thi Thu Van
56ca3333-d459-4a9c-9ad5-8a7c6667b7aa

Strodiot, Jean Jacques, Vuong, Phan Tu and Nguyen, Thi Thu Van (2016) A class of shrinking projection extragradient methods for solving non-monotone equilibrium problems in Hilbert spaces. Journal of Global Optimization, 64 (1), 159-178. (doi:10.1007/s10898-015-0365-5).

Record type: Article

Abstract

A new class of extragradient-type methods is introduced for solving an equilibrium problem in a real Hilbert space without any monotonicity assumption on the equilibrium function. The strategy is to replace the second projection step in the classical extragradient method by a projection onto shrinking convex subsets of the feasible set. Furthermore, to ensure a sufficient decrease on the equilibrium function, a general Armijo-type condition is imposed. This condition is shown to be satisfied for four different linesearches used in the literature. Then, the weak and strong convergence of the resulting algorithms is obtained under non-monotonicity assumptions. Finally, some numerical experiments are reported.

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More information

Accepted/In Press date: 18 September 2015
e-pub ahead of print date: 23 September 2015
Published date: 1 January 2016

Identifiers

Local EPrints ID: 434860
URI: http://eprints.soton.ac.uk/id/eprint/434860
ISSN: 0925-5001
PURE UUID: 081adb7e-7ce4-4fc3-a28a-59f5e6a41896
ORCID for Phan Tu Vuong: ORCID iD orcid.org/0000-0002-1474-994X

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Date deposited: 11 Oct 2019 16:30
Last modified: 16 Mar 2024 04:42

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Contributors

Author: Jean Jacques Strodiot
Author: Phan Tu Vuong ORCID iD
Author: Thi Thu Van Nguyen

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