Strong convergence inertial projection algorithm with self-adaptive step size rule for pseudomonotone variational inequalities in Hilbert spaces

DOI10.1515/dema-2021-0011zbMath1473.65078OpenAlexW3165181753MaRDI QIDQ2039856

Nopparat Wairojjana, Nattawut Pholasa, Nuttapol Pakkaranang

Publication date: 5 July 2021

Published in: Demonstratio Mathematica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/dema-2021-0011

zbMATH Keywords

variational inequalitiesLipschitz continuitystrong convergence theorempseudomonotone mappingextragradient-like algorithm

Mathematics Subject Classification ID

Monotone operators and generalizations (47H05) Fixed-point theorems (47H10) Parallel algorithms in computer science (68W10) Parallel numerical computation (65Y05) Numerical methods for variational inequalities and related problems (65K15)

Related Items (3)

A self-adaptive extragradient algorithm for solving quasimonotone variational inequalities ⋮ A strong convergence algorithm for solving pseudomonotone variational inequalities with a single projection ⋮ On fixed points of rational contractions in generalized parametric metric and fuzzy metric spaces

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