Inertial projection-type methods for solving pseudomonotone variational inequality problems in Hilbert space
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Title
Inertial projection-type methods for solving pseudomonotone variational inequality problems in Hilbert space
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Keywords
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Journal
NUMERICAL ALGORITHMS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-01-19
DOI
10.1007/s11075-020-01058-6
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Note: Only part of the references are listed.- The forward–backward–forward method from continuous and discrete perspective for pseudo-monotone variational inequalities in Hilbert spaces
- (2020) R.I. Boţ et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A modified inertial subgradient extragradient method for solving pseudomonotone variational inequalities and common fixed point problems
- (2020) L.C. Ceng et al. Fixed Point Theory
- Weak convergence of iterative methods for solving quasimonotone variational inequalities
- (2020) Hongwei Liu et al. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
- An inertial subgradient extragradient algorithm extended to pseudomonotone equilibrium problems
- (2020) Yekini Shehu et al. MATHEMATICAL METHODS OF OPERATIONS RESEARCH
- Equilibrium formulations of relative optimization problems
- (2019) I. V. Konnov MATHEMATICAL METHODS OF OPERATIONS RESEARCH
- Modified Tseng's extragradient methods for solving pseudo-monotone variational inequalities
- (2019) Duong Viet Thong et al. OPTIMIZATION
- Hybrid inertial subgradient extragradient methods for variational inequalities and fixed point problems involving asymptotically nonexpansive mappings
- (2019) Lu-Chuan Ceng et al. OPTIMIZATION
- A note on the combination of equilibrium problems
- (2019) Nguyen Thi Thanh Ha et al. MATHEMATICAL METHODS OF OPERATIONS RESEARCH
- Composite inertial subgradient extragradient methods for variational inequalities and fixed point problems
- (2019) Lu-Chuan Ceng et al. JOURNAL OF INEQUALITIES AND APPLICATIONS
- On the Weak Convergence of the Extragradient Method for Solving Pseudo-Monotone Variational Inequalities
- (2018) Phan Tu Vuong JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Strong convergence result for solving monotone variational inequalities in Hilbert space
- (2018) Jun Yang et al. NUMERICAL ALGORITHMS
- Convergence of an extragradient-type method for variational inequality with applications to optimal control problems
- (2018) Phan Tu Vuong et al. NUMERICAL ALGORITHMS
- A Modified Projected Gradient Method for Monotone Variational Inequalities
- (2018) Jun Yang et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Modified subgradient extragradient algorithms for solving monotone variational inequalities
- (2018) Jun Yang et al. OPTIMIZATION
- Modified Tseng’s extragradient algorithms for variational inequality problems
- (2018) Duong Viet Thong et al. Journal of Fixed Point Theory and Applications
- Inertial projection and contraction algorithms for variational inequalities
- (2017) Q. L. Dong et al. JOURNAL OF GLOBAL OPTIMIZATION
- Weak and strong convergence theorems for variational inequality problems
- (2017) Duong Viet Thong et al. NUMERICAL ALGORITHMS
- Outer approximation methods for solving variational inequalities in Hilbert space
- (2017) Aviv Gibali et al. OPTIMIZATION
- WEAK AND STRONG CONVERGENCE THEOREMS FOR VARIATIONAL INEQUALITY AND FIXED POINT PROBLEMS WITH TSENG’S EXTRAGRADIENT METHOD
- (2017) Fenghui Wang et al. TAIWANESE JOURNAL OF MATHEMATICS
- Convergence of One-Step Projected Gradient Methods for Variational Inequalities
- (2016) P. E. Maingé et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- The extragradient algorithm with inertial effects for solving the variational inequality
- (2016) Qiao-Li Dong et al. OPTIMIZATION
- Modified inertial Mann algorithm and inertial CQ-algorithm for nonexpansive mappings
- (2016) Q. L. Dong et al. Optimization Letters
- Projected Reflected Gradient Methods for Monotone Variational Inequalities
- (2015) Yu. Malitsky SIAM JOURNAL ON OPTIMIZATION
- A hybrid method without extrapolation step for solving variational inequality problems
- (2014) Yu. V. Malitsky et al. JOURNAL OF GLOBAL OPTIMIZATION
- Strong Convergence of the Halpern Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Spaces
- (2013) Rapeepan Kraikaew et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Iterative Methods for Pseudomonotone Variational Inequalities and Fixed-Point Problems
- (2012) Yonghong Yao et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- A modified Korpelevich's method convergent to the minimum-norm solution of a variational inequality
- (2012) Yonghong Yao et al. OPTIMIZATION
- A class of generalized evolution variational inequalities in Banach spaces
- (2011) Yi-bin Xiao et al. APPLIED MATHEMATICS LETTERS
- Strong convergence of subgradient extragradient methods for the variational inequality problem in Hilbert space
- (2011) Yair Censor et al. OPTIMIZATION METHODS & SOFTWARE
- Korpelevich’s method for variational inequality problems in Banach spaces
- (2010) Alfredo N. Iusem et al. JOURNAL OF GLOBAL OPTIMIZATION
- Weak Convergence of an Iterative Method for Pseudomonotone Variational Inequalities and Fixed-Point Problems
- (2010) L. C. Ceng et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- The Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Space
- (2010) Y. Censor et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Extensions of Korpelevich's extragradient method for the variational inequality problem in Euclidean space
- (2010) Yair Censor et al. OPTIMIZATION
- A Hybrid Extragradient-Viscosity Method for Monotone Operators and Fixed Point Problems
- (2008) Paul-Emile Maingé SIAM JOURNAL ON CONTROL AND OPTIMIZATION
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