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A Strong Convergence Theorem for Solving Pseudo-monotone Variational Inequalities Using Projection Methods

Lateef Olakunle Jolaoso, Adeolu Taiwo, Timilehin Opeyemi Alakoya, Oluwatosin Temitope Mewomo

2020Journal of Optimization Theory and Applications80 citationsDOI

Topics & Concepts

MathematicsVariational inequalityLipschitz continuityMonotone polygonHilbert spaceBanach spacePseudo-monotone operatorStrongly monotoneTheory of computationApplied mathematicsProjection (relational algebra)Convergence (economics)Projection methodMonotonic functionMathematical analysisPure mathematicsMathematical optimizationDykstra's projection algorithmFinite-rank operatorOperator spaceAlgorithmGeometryEconomic growthEconomicsOptimization and Variational AnalysisAdvanced Optimization Algorithms ResearchContact Mechanics and Variational Inequalities
A Strong Convergence Theorem for Solving Pseudo-monotone Variational Inequalities Using Projection Methods | Litcius