| dc.contributor.author | Abubakar, Adamu | |
| dc.date.accessioned | 2020-01-27T08:31:31Z | |
| dc.date.available | 2020-01-27T08:31:31Z | |
| dc.date.issued | 2017-12-18 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/123456789/4940 | |
| dc.description.abstract | A Krasnoselskii-type algorithm for approximating a common element of the set of solutions of a variational inequality problem for a monotone, k-Lipschitz map and solutions of a convex feasibility problem involving a countable family of relatively nonexpansive maps is studied in a uniformly smooth and 2-uniformly convex real Banach space. A strong convergence theorem is proved. Some applications of the theorem are presented. | en_US |
| dc.description.sponsorship | AUST and AfDB. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Abubakar Adamu | en_US |
| dc.subject | Prof. Charles Ejikeme Chidume | en_US |
| dc.subject | Relatively nonepxansive maps | en_US |
| dc.subject | monotone maps | en_US |
| dc.subject | Lipschitz continuous maps | en_US |
| dc.subject | gen- eralized projection | en_US |
| dc.subject | variational inequality problems | en_US |
| dc.subject | countable family | en_US |
| dc.subject | subgradient method | en_US |
| dc.title | A Krasnoselskii-Type Algorithm for Approximating Solutions of Variational Inequality Problems and Convex Feasibility Problems | en_US |
| dc.type | Thesis | en_US |
