Two step inertial Tseng method for solving monotone variational inclusion problem

In this paper, we examine the monotone variational inclusion problem with a maximal monotone operator and a Lipschitz continuous monotone operator. We propose two different iterative algorithms for solving the monotone variational inclusion problem, utilizing a new self-adaptive step size and a two-...

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Main Authors: Lehlogonolo Mokaba, Hammed Anuoluwapo Abass, Abubakar Adamu
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Results in Applied Mathematics
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590037425000093
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author Lehlogonolo Mokaba
Hammed Anuoluwapo Abass
Abubakar Adamu
author_facet Lehlogonolo Mokaba
Hammed Anuoluwapo Abass
Abubakar Adamu
author_sort Lehlogonolo Mokaba
collection DOAJ
description In this paper, we examine the monotone variational inclusion problem with a maximal monotone operator and a Lipschitz continuous monotone operator. We propose two different iterative algorithms for solving the monotone variational inclusion problem, utilizing a new self-adaptive step size and a two-step inertial technique. Under the assumption that the solution set of the monotone variational inclusion problem is nonempty, we prove weak and strong convergence theorems concerning the sequences generated by our proposed algorithms. The convergence is guaranteed under some mild assumptions. Some numerical experiments are presented to demonstrate the performance of our iterative algorithms in comparison with recent results in the literature.
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publishDate 2025-02-01
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series Results in Applied Mathematics
spelling doaj-art-5309c4e3f4434d98b7df0a36131e8ae12025-08-20T01:58:27ZengElsevierResults in Applied Mathematics2590-03742025-02-012510054510.1016/j.rinam.2025.100545Two step inertial Tseng method for solving monotone variational inclusion problemLehlogonolo Mokaba0Hammed Anuoluwapo Abass1Abubakar Adamu2Department of Mathematics and Applied Mathematics, Sefako Makgatho Health Science University, P.O. Box 94, Pretoria 0204, South AfricaDepartment of Mathematics and Applied Mathematics, Sefako Makgatho Health Science University, P.O. Box 94, Pretoria 0204, South AfricaOperational research center in Healthcare, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey; Charles Chidume Mathematics Institute, African University of Science and Technology, Abuja 900107, Nigeria; School of Mathematics, Chongqing Normal University, Chongqing 400047, China; Corresponding author at: Operational research center in Healthcare, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey.In this paper, we examine the monotone variational inclusion problem with a maximal monotone operator and a Lipschitz continuous monotone operator. We propose two different iterative algorithms for solving the monotone variational inclusion problem, utilizing a new self-adaptive step size and a two-step inertial technique. Under the assumption that the solution set of the monotone variational inclusion problem is nonempty, we prove weak and strong convergence theorems concerning the sequences generated by our proposed algorithms. The convergence is guaranteed under some mild assumptions. Some numerical experiments are presented to demonstrate the performance of our iterative algorithms in comparison with recent results in the literature.http://www.sciencedirect.com/science/article/pii/S2590037425000093Inertial methodMonotone operatorTseng methodVariational inclusion
spellingShingle Lehlogonolo Mokaba
Hammed Anuoluwapo Abass
Abubakar Adamu
Two step inertial Tseng method for solving monotone variational inclusion problem
Results in Applied Mathematics
Inertial method
Monotone operator
Tseng method
Variational inclusion
title Two step inertial Tseng method for solving monotone variational inclusion problem
title_full Two step inertial Tseng method for solving monotone variational inclusion problem
title_fullStr Two step inertial Tseng method for solving monotone variational inclusion problem
title_full_unstemmed Two step inertial Tseng method for solving monotone variational inclusion problem
title_short Two step inertial Tseng method for solving monotone variational inclusion problem
title_sort two step inertial tseng method for solving monotone variational inclusion problem
topic Inertial method
Monotone operator
Tseng method
Variational inclusion
url http://www.sciencedirect.com/science/article/pii/S2590037425000093
work_keys_str_mv AT lehlogonolomokaba twostepinertialtsengmethodforsolvingmonotonevariationalinclusionproblem
AT hammedanuoluwapoabass twostepinertialtsengmethodforsolvingmonotonevariationalinclusionproblem
AT abubakaradamu twostepinertialtsengmethodforsolvingmonotonevariationalinclusionproblem