A modified self-adaptive inertial tseng algorithm for solving a quasimonotone variational inequality and fixed point problems in real hilbert space
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.
Authors
- Kazeem Olalekan Aremu (ORCID: https://orcid.org/0000-0002-5624-2768)
- Muhammad Ibrahim (ORCID: https://orcid.org/0000-0003-3284-8535)
- Muhammed Ibrahim Mona
Institutions
- Sefako Makgatho Health Sciences University (ZA)
- Usmanu Danfodiyo University (NG)
Publication Details
- Journal
- The Journal of Analysis
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1007/s41478-024-00835-z
- Citations
- 4
- Primary Topic
- Optimization and Variational Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.45