Strong convergence of a self-adaptive inertial Tseng's extragradient method for pseudomonotone variational inequalities and fixed point problems

• Published in: Open mathematics (Warsaw, Poland) Vol. 20; no. 1; pp. 234 - 257
• Main Authors: Uzor, Victor Amarachi, Alakoya, Timilehin Opeyemi, Mewomo, Oluwatosin Temitope
• Format: Journal Article
• Language: English
• Published: Warsaw De Gruyter 13.04.2022; De Gruyter Poland
• Subjects: 47J25; 65J15; 65K15; 90C33; adaptive step size; Algorithms; Convergence; demicontractive; fixed point; Hilbert space; inertial technique; Iterative methods; Mathematical analysis; pseudomonotone; strong convergence; Tseng’s extragradient method; variational inequalities
• ISSN: 2391-5455; 2391-5455
• DOI: 10.1515/math-2022-0030

In this paper, we study the problem of finding a common solution of the pseudomonotone variational inequality problem and fixed point problem for demicontractive mappings. We introduce a new inertial iterative scheme that combines Tseng’s extragradient method with the viscosity method together with the adaptive step size technique for finding a common solution of the investigated problem. We prove a strong convergence result for our proposed algorithm under mild conditions and without prior knowledge of the Lipschitz constant of the pseudomonotone operator in Hilbert spaces. Finally, we present some numerical experiments to show the efficiency of our method in comparison with some of the existing methods in the literature.