Self-adaptive inertial extragradient algorithms for solving variational inequality problems
DOI10.1007/s40314-020-01393-3OpenAlexW3034132873MaRDI QIDQ2027711
Jingjing Fan, Songxiao Li, Bing Tan
Publication date: 28 May 2021
Published in: Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.04287
variational inequality probleminertial methodMann-type methodsubgradient extragradient algorithmTseng's extragradient algorithm
Variational and other types of inequalities involving nonlinear operators (general) (47J20) Numerical optimization and variational techniques (65K10) Monotone operators and generalizations (47H05) Iterative procedures involving nonlinear operators (47J25) Contraction-type mappings, nonexpansive mappings, (A)-proper mappings, etc. (47H09) Numerical methods for variational inequalities and related problems (65K15)
Related Items (17)
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- Convergence analysis of an iterative algorithm for monotone operators
- Strong convergence of the Halpern subgradient extragradient method for solving variational inequalities in Hilbert spaces
- The subgradient extragradient method for solving variational inequalities in Hilbert space
- Strong convergence result for solving monotone variational inequalities in Hilbert space
- Ishikawa and Mann iterative process with errors for nonlinear strongly accretive mappings in Banach spaces
- Approximation of common solutions of variational inequalities via strict pseudocontractions
- A new accelerated self-adaptive stepsize algorithm with excellent stability for split common fixed point problems
- Smoothing algorithms for computing the projection onto a Minkowski sum of convex sets
- Solving \(k\)-center problems involving sets based on optimization techniques
- Strong convergence of extragradient methods with a new step size for solving variational inequality problems
- Convergence analysis of projection method for variational inequalities
- Strong convergence result for monotone variational inequalities
- Iterative Algorithms for Nonlinear Operators
- A Hybrid Extragradient-Viscosity Method for Monotone Operators and Fixed Point Problems
- FOM – a MATLAB toolbox of first-order methods for solving convex optimization problems
- A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings
- Iterative methods for fixed points and zero points of nonlinear mappings with applications
- A subgradient extragradient algorithm with inertial effects for solving strongly pseudomonotone variational inequalities
- Convergence rate analysis of proximal gradient methods with applications to composite minimization problems
- Strong convergence of inertial Mann algorithms for solving hierarchical fixed point problems
- Nonsmooth variational inequalities on Hadamard manifolds
- On a new algorithm for solving variational inequality and fixed point problems
- An alternate minimization method beyond positive definite proximal regularization: convergence and complexity
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