New step lengths in projection method for variational inequality problems

DOI10.1016/j.amc.2013.06.015zbMath1329.65138OpenAlexW1983452596MaRDI QIDQ902499

Xue Zhang, Yun-Da Dong

Publication date: 18 January 2016

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2013.06.015

zbMATH Keywords

variational inequalitystrong monotonicityprojection methodLipschitz continuityself-adaptive step length

Mathematics Subject Classification ID

Numerical methods for variational inequalities and related problems (65K15)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A new modified Goldstein-Levitin-Polyak projection method for variational inequality problems
• Some developments in general variational inequalities
• Combined relaxation methods for finding equilibrium points and solving related problems
• Methodes itératives pour les équations et inéquations aux dérivées partielles non linéaires de type monotone. (Iteration methods for nonlinear equations and inequations with partial derivatives of monotone type)
• Two-Metric Projection Methods for Constrained Optimization
• Global Convergence of a a of Trust-Region Methods for Nonconvex Minimization in Hilbert Space
• Projected gradient methods for linearly constrained problems
• On the Goldstein-Levitin-Polyak gradient projection method
• Convex programming in Hilbert space
• Modified Goldstein--Levitin--Polyak projection method for asymmetric strongly monotone variational inequalities

This page was built for publication: New step lengths in projection method for variational inequality problems