Duong Viet Thong

Orcid: 0000-0003-1753-7237

According to our database1, Duong Viet Thong authored at least 39 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

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Bibliography

2024
Iterative methods for solving monotone variational inclusions without prior knowledge of the Lipschitz constant of the single-valued operator.
Numer. Algorithms, November, 2024

An inertial extragradient method for solving strongly pseudomonotone equilibrium problems in Hilbert spaces.
Comput. Appl. Math., September, 2024

Convergence of two-step inertial Tseng's extragradient methods for quasimonotone variational inequality problems.
Commun. Nonlinear Sci. Numer. Simul., 2024

A modified subgradient extragradient method with non-monotonic step sizes for solving quasimonotone variational inequalities.
Comput. Appl. Math., 2024

2023
Novel projection methods for solving variational inequality problems and applications.
Numer. Algorithms, July, 2023

A single projection algorithm with double inertial extrapolation steps for solving pseudomonotone variational inequalities in Hilbert space.
J. Comput. Appl. Math., July, 2023

Strong and linear convergence of projection-type method with an inertial term for finding minimum-norm solutions of pseudomonotone variational inequalities in Hilbert spaces.
Numer. Algorithms, April, 2023

Fast relaxed inertial Tseng's method-based algorithm for solving variational inequality and fixed point problems in Hilbert spaces.
J. Comput. Appl. Math., 2023

2022
A new modified forward-backward-forward algorithm for solving inclusion problems.
Comput. Appl. Math., December, 2022

Inertial projection methods for finding a minimum-norm solution of pseudomonotone variational inequality and fixed-point problems.
Comput. Appl. Math., September, 2022

Revisiting the extragradient method for finding the minimum-norm solution of non-Lipschitzian pseudo-monotone variational inequalities.
Comput. Appl. Math., June, 2022

Strong convergence of inertial subgradient extragradient algorithm for solving pseudomonotone equilibrium problems.
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.
Numer. Algorithms, 2022

R-linear convergence analysis of inertial extragradient algorithms for strongly pseudo-monotone variational inequalities.
J. Comput. Appl. Math., 2022

Two fast converging inertial subgradient extragradient algorithms with variable stepsizes for solving pseudo-monotone VIPs in Hilbert spaces.
J. Comput. Appl. Math., 2022

2021
Explicit extragradient-like method with adaptive stepsizes for pseudomonotone variational inequalities.
Optim. Lett., 2021

An inertial Popov's method for solving pseudomonotone variational inequalities.
Optim. Lett., 2021

A new strong convergence for solving split variational inclusion problems.
Numer. Algorithms, 2021

New algorithms and convergence theorems for solving variational inequalities with non-Lipschitz mappings.
Numer. Algorithms, 2021

Inertial projection-type methods for solving pseudomonotone variational inequality problems in Hilbert space.
Numer. Algorithms, 2021

An inertial subgradient extragradient algorithm extended to pseudomonotone equilibrium problems.
Math. Methods Oper. Res., 2021

Global Exponential Stability of a Neural Network for Inverse Variational Inequalities.
J. Optim. Theory Appl., 2021

2020
A strong convergence theorem for Tseng's extragradient method for solving variational inequality problems.
Optim. Lett., 2020

Self adaptive inertial subgradient extragradient algorithms for solving pseudomonotone variational inequality problems.
Optim. Lett., 2020

New strong convergence theorem of the inertial projection and contraction method for variational inequality problems.
Numer. Algorithms, 2020

Strong convergence of extragradient methods for solving bilevel pseudo-monotone variational inequality problems.
Numer. Algorithms, 2020

Weak and strong convergence theorems for solving pseudo-monotone variational inequalities with non-Lipschitz mappings.
Numer. Algorithms, 2020

Computing Dynamic User Equilibrium on Large-Scale Networks Without Knowing Global Parameters.
CoRR, 2020

A new iterative method for solving pseudomonotone variational inequalities with non-Lipschitz operators.
Comput. Appl. Math., 2020

Three new iterative methods for solving inclusion problems and related problems.
Comput. Appl. Math., 2020

2019
Some extragradient-viscosity algorithms for solving variational inequality problems and fixed point problems.
Numer. Algorithms, 2019

Inertial subgradient extragradient algorithms with line-search process for solving variational inequality problems and fixed point problems.
Numer. Algorithms, 2019

Accelerated Subgradient Extragradient Methods for Variational Inequality Problems.
J. Sci. Comput., 2019

Strong convergence of extragradient methods with a new step size for solving variational inequality problems.
Comput. Appl. Math., 2019

Strong convergence of a forward-backward splitting method with a new step size for solving monotone inclusions.
Comput. Appl. Math., 2019

2018
Modified subgradient extragradient method for variational inequality problems.
Numer. Algorithms, 2018

Weak and strong convergence theorems for variational inequality problems.
Numer. Algorithms, 2018

New extragradient-like algorithms for strongly pseudomonotone variational inequalities.
J. Glob. Optim., 2018

Inertial extragradient algorithms for strongly pseudomonotone variational inequalities.
J. Comput. Appl. Math., 2018


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