Work

A modified self-adaptive inertial tseng algorithm for solving a quasimonotone variational inequality and fixed point problems in real hilbert space

Year: 2024

Type: article

Abstract: In this research, a modified self-adaptive inertial Tseng algorithm for solving a quasimonotone variational inequality and fixed point problems in real Hilbert spaces was introduced. Boundedness and strong convergence of the sequence generated by the algorithm proposed were established under some convenient conditions. The outcome of the algorithm shows improvement on various algorithms earlier proposed. Finally, a numerical example was given to show the reliability and efficiency of the algorithm.

Source: The Journal of Analysis

DOI: 10.1007/s41478-024-00835-z

Authors: Kazeem Olalekan Aremu, Muhammed Ibrahim Mona, Muhammad Ibrahim

Institutions: Sefako Makgatho Health Sciences University, Usmanu Danfodiyo University

Language: English

Topic: Optimization and Variational Analysis

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,790

Funder: Sefako Makgatho Health Sciences University