An efficient inertial type iterative algorithm to approximate the solutions of quasi variational inequalities in real Hilbert spaces

DOI10.1007/S10915-021-01657-YzbMath1493.47090OpenAlexW3205321986MaRDI QIDQ2666016

Müzeyyen Ertürk, Faik Gürsoy, Ayşegül Keten Çopur, Emirhan Hacıoğlu

Publication date: 22 November 2021

Published in: Journal of Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10915-021-01657-y

zbMATH Keywords

strong convergencestrong monotonicityHilbert spacesquasi-variational inequalitiesLipschitz continuousinertial projection-type method

Mathematics Subject Classification ID

Monotone operators and generalizations (47H05) Iterative procedures involving nonlinear operators (47J25) Numerical methods for variational inequalities and related problems (65K15)

Related Items (2)

New self-adaptive methods with double inertial steps for solving splitting monotone variational inclusion problems with applications ⋮ A modified Tseng splitting method with double inertial steps for solving monotone inclusion problems

Uses Software

• QVILIB

Cites Work

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• A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
• Stochastic pursuit-evasion games
• Gradient-type projection methods for quasi-variational inequalities
• Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces
• Convergence of Mann's type iteration method for generalized asymptotically nonexpansive mappings
• Iterative Algorithms for Nonlinear Operators

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