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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Suthep Suantai | en_US |
| dc.contributor.author | Bancha Panyanak | en_US |
| dc.contributor.author | Suparat Kesornprom | en_US |
| dc.contributor.author | Prasit Cholamjiak | en_US |
| dc.date.accessioned | 2022-10-16T07:00:39Z | - |
| dc.date.available | 2022-10-16T07:00:39Z | - |
| dc.date.issued | 2022-07-01 | en_US |
| dc.identifier.issn | 18624480 | en_US |
| dc.identifier.issn | 18624472 | en_US |
| dc.identifier.other | 2-s2.0-85116210951 | en_US |
| dc.identifier.other | 10.1007/s11590-021-01798-x | en_US |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85116210951&origin=inward | en_US |
| dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/75543 | - |
| dc.description.abstract | In this work, we design new type of projection methods to solve the split feasibility problem. We prove the convergence theorems under some mild conditions. Finally, we give some applications to compressed sensing and image restoration. Numerical results show that our methods can outperform related algorithms in the literature. | en_US |
| dc.subject | Mathematics | en_US |
| dc.title | Inertial projection and contraction methods for split feasibility problem applied to compressed sensing and image restoration | en_US |
| dc.type | Journal | en_US |
| article.title.sourcetitle | Optimization Letters | en_US |
| article.volume | 16 | en_US |
| article.stream.affiliations | University of Phayao | en_US |
| article.stream.affiliations | Chiang Mai University | en_US |
| Appears in Collections: | CMUL: Journal Articles | |
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