Strong convergence of an inertial Tseng’s extragradient algorithm for pseudomonotone variational inequalities with applications to optimal control problems

We investigate an inertial viscosity-type Tseng's extragradient algorithm with a new step size for solving pseudomonotone variational inequality problems in real Hilbert spaces.A strong convergence theorem of the proposed algorithm is obtained without the prior information of the Lipschitz constant of the operator and also without any requirement of additional projections.Finally, several computational tests are carried out to demonstrate the reliability and benefits of the proposed algorithm and compare it with some existing ones.Moreover, our algorithm is also applied to address the variational inequality problem that appears in optimal control problems.

Publication Details

Journal
Journal of Applied and Numerical Optimization
Published
2025-01-01
DOI
https://doi.org/10.23952/jano.7.2025.2.03
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Strong convergence of an inertial Tseng’s extragradient algorithm for pseudomonotone variational inequalities with applications to optimal control problems

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Journal of Applied and Numerical Optimization
Optimization and Variational Analysis
article

Strong convergence of an inertial Tseng’s extragradient algorithm for pseudomonotone variational inequalities with applications to optimal control problems

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Abstract

We investigate an inertial viscosity-type Tseng's extragradient algorithm with a new step size for solving pseudomonotone variational inequality problems in real Hilbert spaces.A strong convergence theorem of the proposed algorithm is obtained without the prior information of the Lipschitz constant of the operator and also without any requirement of additional projections.Finally, several computational tests are carried out to demonstrate the reliability and benefits of the proposed algorithm and compare it with some existing ones.Moreover, our algorithm is also applied to address the variational inequality problem that appears in optimal control problems.

Journal of Applied and Numerical OptimizationVol. 7(2)
Natural Science Foundation of Chongqing, Centre Scientifique et Technique du Bâtiment, Fundamental Research Funds for the Central Universities
Reduced inequalities
Openalex Percentile: Top 80%
Optimization and Variational Analysis
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