Duong Viet Thong

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Numer. Algorithms, April, 2023

Fast relaxed inertial Tseng's method-based algorithm for solving variational inequality and fixed point problems in Hilbert spaces.

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J. Comput. Appl. Math., 2023

A new modified forward-backward-forward algorithm for solving inclusion problems.

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Comput. Appl. Math., December, 2022

Inertial projection methods for finding a minimum-norm solution of pseudomonotone variational inequality and fixed-point problems.

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Vu Tien Dung

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Luong Van Long

Comput. Appl. Math., September, 2022

Revisiting the extragradient method for finding the minimum-norm solution of non-Lipschitzian pseudo-monotone variational inequalities.

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Comput. Appl. Math., June, 2022

Strong convergence of inertial subgradient extragradient algorithm for solving pseudomonotone equilibrium problems.

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Optim. Lett., 2022

Analysis of two variants of an inertial projection algorithm for finding the minimum-norm solutions of variational inequality and fixed point problems.

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Numer. Algorithms, 2022

R-linear convergence analysis of inertial extragradient algorithms for strongly pseudo-monotone variational inequalities.

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Phan Tu Vuong

J. Comput. Appl. Math., 2022

Two fast converging inertial subgradient extragradient algorithms with variable stepsizes for solving pseudo-monotone VIPs in Hilbert spaces.

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J. Comput. Appl. Math., 2022

Explicit extragradient-like method with adaptive stepsizes for pseudomonotone variational inequalities.

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Jun Yang

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Themistocles M. Rassias

Optim. Lett., 2021

An inertial Popov's method for solving pseudomonotone variational inequalities.

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Themistocles M. Rassias

Optim. Lett., 2021

A new strong convergence for solving split variational inclusion problems.

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Tien Dung Vu

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Numer. Algorithms, 2021

New algorithms and convergence theorems for solving variational inequalities with non-Lipschitz mappings.

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Numer. Algorithms, 2021

Inertial projection-type methods for solving pseudomonotone variational inequality problems in Hilbert space.

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Numer. Algorithms, 2021

An inertial subgradient extragradient algorithm extended to pseudomonotone equilibrium problems.

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Yekini Shehu

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Olaniyi Samuel Iyiola

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Nguyen Thi Cam Van

Math. Methods Oper. Res., 2021

Global Exponential Stability of a Neural Network for Inverse Variational Inequalities.

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Phan Tu Vuong

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Xiaozheng He

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J. Optim. Theory Appl., 2021

A strong convergence theorem for Tseng's extragradient method for solving variational inequality problems.

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Optim. Lett., 2020

Self adaptive inertial subgradient extragradient algorithms for solving pseudomonotone variational inequality problems.

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Themistocles M. Rassias

Optim. Lett., 2020

New strong convergence theorem of the inertial projection and contraction method for variational inequality problems.

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Numer. Algorithms, 2020

Strong convergence of extragradient methods for solving bilevel pseudo-monotone variational inequality problems.

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Numer. Algorithms, 2020

Weak and strong convergence theorems for solving pseudo-monotone variational inequalities with non-Lipschitz mappings.

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Yekini Shehu

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Olaniyi Samuel Iyiola

Numer. Algorithms, 2020

Computing Dynamic User Equilibrium on Large-Scale Networks Without Knowing Global Parameters.

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CoRR, 2020

A new iterative method for solving pseudomonotone variational inequalities with non-Lipschitz operators.

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Yekini Shehu

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Olaniyi Samuel Iyiola

Comput. Appl. Math., 2020

Three new iterative methods for solving inclusion problems and related problems.

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[DOI]

Aviv Gibali

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Comput. Appl. Math., 2020

Some extragradient-viscosity algorithms for solving variational inequality problems and fixed point problems.

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Numer. Algorithms, 2019

Inertial subgradient extragradient algorithms with line-search process for solving variational inequality problems and fixed point problems.

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Numer. Algorithms, 2019

Accelerated Subgradient Extragradient Methods for Variational Inequality Problems.

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J. Sci. Comput., 2019

Strong convergence of extragradient methods with a new step size for solving variational inequality problems.

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Comput. Appl. Math., 2019

Strong convergence of a forward-backward splitting method with a new step size for solving monotone inclusions.

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Prasit Cholamjiak

Comput. Appl. Math., 2019

Modified subgradient extragradient method for variational inequality problems.

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Numer. Algorithms, 2018

Weak and strong convergence theorems for variational inequality problems.

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Numer. Algorithms, 2018

New extragradient-like algorithms for strongly pseudomonotone variational inequalities.

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J. Glob. Optim., 2018

Inertial extragradient algorithms for strongly pseudomonotone variational inequalities.

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