A self-adaptive projection and contraction method for monotone symmetric linear variational inequalities.

DOI10.1016/S0898-1221(01)00269-3zbMath1037.65066OpenAlexW2033529169MaRDI QIDQ1609034

Shengli Wang, Li-Zhi Liao

Publication date: 15 August 2002

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0898-1221(01)00269-3

zbMATH Keywords

numerical examplesprojection methodprojection methodscontraction methodadaptive parameterssymmetric variational inequality

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Variational inequalities (49J40)

Related Items (4)

Solving linear variational inequality problems by a self-adaptive projection method ⋮ An explicit method for the split feasibility problem with self-adaptive step sizes ⋮ Strong convergence of a self-adaptive method for the split feasibility problem ⋮ A forward-backward-forward algorithm for solving quasimonotone variational inequalities

Cites Work

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• Finite-dimensional variational inequality and nonlinear complementarity problems: A survey of theory, algorithms and applications
• A projection and contraction method for a class of linear complementarity problems and its application in convex quadratic programming
• Solving a class of linear projection equations
• A new method for a class of linear variational inequalities
• Inexact implicit methods for monotone general variational inequalities
• An iterative scheme for variational inequalities
• On the basic theorem of complementarity

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