Strongly convergent inertial extragradient type methods for equilibrium problems
Yekini Shehu, Chinedu Izuchukwu, Jen‐Chih Yao, Xiaolong Qin
Abstract
This paper studies modified extragradient methods with inertial extrapolation step and self-adaptive step-sizes for solving equilibrium problems in real Hilbert spaces. Strong convergence results are obtained under the assumption that the bifunction is pseudomonotone and satisfies the Lipchitz-type condition. Our method of proof is of independent interest and different from the recent arguments used in related papers on strong convergence methods with inertial steps for equilibrium problems. Numerical implementations and comparisons are given to support the theoretical findings.
Topics & Concepts
ExtrapolationInertial frame of referenceMathematicsConvergence (economics)Hilbert spaceApplied mathematicsWeak convergenceType (biology)Mathematical analysisComputer scienceAsset (computer security)EconomicsQuantum mechanicsComputer securityBiologyEcologyEconomic growthPhysicsOptimization and Variational AnalysisAdvanced Optimization Algorithms ResearchNumerical methods in inverse problems