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A modified subgradient extragradient algorithm-type for solving quasimonotone variational inequality problems with applications

Austine Efut Ofem, A. A. Mebawondu, Godwin Chidi Ugwunnadi, Hüseyin Işık, Ojen Kumar Narain

2023Journal of Inequalities and Applications14 citationsDOIOpen Access PDF

Abstract

Abstract In this article, we introduce an inertial-type algorithm that combines the extragradient subgradient method, the projection contraction method, and the viscosity method. The proposed method is used for solving quasimonotone variational inequality problems in infinite dimensional real Hilbert spaces such that it does not depend on the Lipschitz constant of the cost operator. Further, we prove the strong convergence results of the new algorithm. Our strong convergence results are achieved without imposing strict conditions on the control parameters and inertial factor of our algorithm. We utilize our algorithm to solve some problems in applied sciences and engineering such as image restoration and optimal control. Some numerical experiments are carried out to support our theoretical results. Our numerical illustrations show that our new method is more efficient than many existing methods.

Topics & Concepts

Subgradient methodMathematicsVariational inequalityLipschitz continuityHilbert spaceConvergence (economics)Inertial frame of referenceBregman divergenceOperator (biology)Type (biology)Contraction (grammar)AlgorithmApplied mathematicsMathematical optimizationMathematical analysisBiochemistryInternal medicinePhysicsMedicineEconomic growthQuantum mechanicsTranscription factorBiologyEconomicsGeneChemistryEcologyRepressorOptimization and Variational AnalysisContact Mechanics and Variational InequalitiesAdvanced Optimization Algorithms Research