Self-adaptive iterative method for solving boundedly Lipschitz continuous and strongly monotone variational inequalities

DOI10.1186/s13660-018-1941-2zbMath1485.47096OpenAlexW2904947487WikidataQ60950115 ScholiaQ60950115MaRDI QIDQ2061496

Songnian He, Aviv Gibali, Li-Li Liu

Publication date: 15 December 2021

Published in: Journal of Inequalities and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s13660-018-1941-2

zbMATH Keywords

strong convergencevariational inequalitiesconvergence ratereal Hilbert spacestrongly monotone mappingboundedly Lipschitz continuousself-adaptive iterative methods

Mathematics Subject Classification ID

Variational inequalities (49J40) Monotone operators and generalizations (47H05) Iterative procedures involving nonlinear operators (47J25)

Related Items (2)

Steepest-descent block-iterative methods for a finite family of quasi-nonexpansive mappings ⋮ Inertial-type incremental constraint projection method for solving variational inequalities without Lipschitz continuity

Cites Work

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