Strong convergence of new iterative projection methods with regularization for solving monotone variational inequalities in Hilbert spaces

DOI10.1002/MMA.6647zbMath1457.65028OpenAlexW3041390714MaRDI QIDQ5143483

Buu Huu Thai, Hoang Ngoc Duong, Dang Van Hieu, Le Dung Muu

Publication date: 12 January 2021

Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/mma.6647

zbMATH Keywords

strong convergencevariational inequalitymonotone operatorprojection methodLipschitz continuityregularization method

Mathematics Subject Classification ID

Variational and other types of inequalities involving nonlinear operators (general) (47J20) Numerical solutions to abstract evolution equations (65J08) Numerical methods for variational inequalities and related problems (65K15)

Related Items (3)

A simple fork algorithm for solving pseudomonotone non-Lipschitz variational inequalities ⋮ Iterative regularization methods for solving equilibrium problems ⋮ An accelerated extragradient algorithm for bilevel pseudomonotone variational inequality problems with application to optimal control problems

This page was built for publication: Strong convergence of new iterative projection methods with regularization for solving monotone variational inequalities in Hilbert spaces