Convergence analysis of a general inertial projection-type method for solving pseudomonotone equilibrium problems with applications
Habib ur Rehman, Poom Kumam, Aviv Gibali, Wiyada Kumam
Abstract
Abstract In this paper, we introduce a new algorithm by incorporating an inertial term with a subgradient extragradient algorithm to solve the equilibrium problems involving a pseudomonotone and Lipschitz-type continuous bifunction in real Hilbert spaces. A weak convergence theorem is well established under certain mild conditions for the bifunction and the control parameters involved. Some of the applications to solve variational inequalities and fixed point problems are considered. Finally, several numerical experiments are performed to demonstrate the numerical efficacy and superiority of the proposed algorithm over other well-known existing algorithms.
Topics & Concepts
Subgradient methodVariational inequalityMathematicsConvergence (economics)Inertial frame of referenceHilbert spaceFixed pointLipschitz continuityType (biology)Applied mathematicsWeak convergenceProjection methodMathematical optimizationAlgorithmMathematical analysisComputer scienceDykstra's projection algorithmPhysicsEconomic growthComputer securityEcologyAsset (computer security)EconomicsQuantum mechanicsBiologyOptimization and Variational AnalysisAdvanced Optimization Algorithms ResearchTopology Optimization in Engineering