Bounded perturbation resilience of extragradient-type methods and their applications

Abstract In this paper we study the bounded perturbation resilience of the extragradient and the subgradient extragradient methods for solving a variational inequality (VI) problem in real Hilbert spaces. This is an important property of algorithms which guarantees the convergence of the scheme unde...

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Main Authors: Q-L Dong, A Gibali, D Jiang, Y Tang
Format: Article
Language:English
Published: SpringerOpen 2017-11-01
Series:Journal of Inequalities and Applications
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13660-017-1555-0
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author Q-L Dong
A Gibali
D Jiang
Y Tang
author_facet Q-L Dong
A Gibali
D Jiang
Y Tang
author_sort Q-L Dong
collection DOAJ
description Abstract In this paper we study the bounded perturbation resilience of the extragradient and the subgradient extragradient methods for solving a variational inequality (VI) problem in real Hilbert spaces. This is an important property of algorithms which guarantees the convergence of the scheme under summable errors, meaning that an inexact version of the methods can also be considered. Moreover, once an algorithm is proved to be bounded perturbation resilience, superiorization can be used, and this allows flexibility in choosing the bounded perturbations in order to obtain a superior solution, as well explained in the paper. We also discuss some inertial extragradient methods. Under mild and standard assumptions of monotonicity and Lipschitz continuity of the VI’s associated mapping, convergence of the perturbed extragradient and subgradient extragradient methods is proved. In addition we show that the perturbed algorithms converge at the rate of O ( 1 / t ) $O(1/t)$ . Numerical illustrations are given to demonstrate the performances of the algorithms.
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spelling doaj.art-c28f961c82d9490da5300ed6330dbdd22022-12-22T02:40:00ZengSpringerOpenJournal of Inequalities and Applications1029-242X2017-11-012017112810.1186/s13660-017-1555-0Bounded perturbation resilience of extragradient-type methods and their applicationsQ-L Dong0A Gibali1D Jiang2Y Tang3Tianjin Key Laboratory for Advanced Signal Processing, College of Science, Civil Aviation University of ChinaDepartment of Mathematics, ORT Braude CollegeTianjin Key Laboratory for Advanced Signal Processing, College of Science, Civil Aviation University of ChinaDepartment of Mathematics, NanChang UniversityAbstract In this paper we study the bounded perturbation resilience of the extragradient and the subgradient extragradient methods for solving a variational inequality (VI) problem in real Hilbert spaces. This is an important property of algorithms which guarantees the convergence of the scheme under summable errors, meaning that an inexact version of the methods can also be considered. Moreover, once an algorithm is proved to be bounded perturbation resilience, superiorization can be used, and this allows flexibility in choosing the bounded perturbations in order to obtain a superior solution, as well explained in the paper. We also discuss some inertial extragradient methods. Under mild and standard assumptions of monotonicity and Lipschitz continuity of the VI’s associated mapping, convergence of the perturbed extragradient and subgradient extragradient methods is proved. In addition we show that the perturbed algorithms converge at the rate of O ( 1 / t ) $O(1/t)$ . Numerical illustrations are given to demonstrate the performances of the algorithms.http://link.springer.com/article/10.1186/s13660-017-1555-0inertial-type methodbounded perturbation resilienceextragradient methodsubgradient extragradient methodvariational inequality
spellingShingle Q-L Dong
A Gibali
D Jiang
Y Tang
Bounded perturbation resilience of extragradient-type methods and their applications
Journal of Inequalities and Applications
inertial-type method
bounded perturbation resilience
extragradient method
subgradient extragradient method
variational inequality
title Bounded perturbation resilience of extragradient-type methods and their applications
title_full Bounded perturbation resilience of extragradient-type methods and their applications
title_fullStr Bounded perturbation resilience of extragradient-type methods and their applications
title_full_unstemmed Bounded perturbation resilience of extragradient-type methods and their applications
title_short Bounded perturbation resilience of extragradient-type methods and their applications
title_sort bounded perturbation resilience of extragradient type methods and their applications
topic inertial-type method
bounded perturbation resilience
extragradient method
subgradient extragradient method
variational inequality
url http://link.springer.com/article/10.1186/s13660-017-1555-0
work_keys_str_mv AT qldong boundedperturbationresilienceofextragradienttypemethodsandtheirapplications
AT agibali boundedperturbationresilienceofextragradienttypemethodsandtheirapplications
AT djiang boundedperturbationresilienceofextragradienttypemethodsandtheirapplications
AT ytang boundedperturbationresilienceofextragradienttypemethodsandtheirapplications