dc.contributor.author |
Boikanyo, Oganeditse A. |
|
dc.contributor.author |
Zegeye, Hailu Habtu |
|
dc.date.accessioned |
2022-06-30T07:54:01Z |
|
dc.date.available |
2022-06-30T07:54:01Z |
|
dc.date.issued |
2019-10-12 |
|
dc.identifier.citation |
Boikanyo, O. A. and Zegeye, H. H. (2020) The split equality fixed point problem for quasi-pseudo-contractive mappings without prior knowledge of norms. Numerical functional analysis and optimization, 41(7), 759-777, https://doi.org/10.1080/01630563.2019.1675170 |
en_US |
dc.identifier.issn |
15322467 |
|
dc.identifier.uri |
http://repository.biust.ac.bw/handle/123456789/470 |
|
dc.description.abstract |
Recently, Chang et al. (2015) constructed an algorithm that converges weakly to the solution of the split equality fixed point problem for quasi-pseudo-contractive mappings under some suitable conditions. They also showed that strong convergence is obtained in the case when the quasi-pseudo-contractive mappings are semi-compact. In this article, we construct an algorithm for quasi-pseudo-contractive mappings that always converge strongly to some solution of the split equality fixed point problem under mild conditions. We mention that we do not require the quasi-pseudo-contractive mappings to be semi-compact to obtain strong convergence. The algorithm does not require any prior knowledge of operator norms. The result of this article provides a unified framework for this type of problems. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Taylor & Francis group |
en_US |
dc.subject |
Demicontractive operators |
en_US |
dc.subject |
Directed operators |
en_US |
dc.subject |
Fixed point |
en_US |
dc.subject |
Feasibility problem |
en_US |
dc.subject |
Quasi nonexpansive mapping |
en_US |
dc.subject |
Quasi-pseudo contractive mapping |
en_US |
dc.title |
The split equality fixed point problem for quasi-pseudo-contractive mappings without prior knowledge of norms |
en_US |
dc.description.level |
phd |
en_US |
dc.description.accessibility |
unrestricted |
en_US |
dc.description.department |
mss |
en_US |