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Strong convergence theorems by hybrid and shrinking projection methods for sums of two monotone operators
In this paper, we introduce two iterative algorithms for finding the solution of the sum of two monotone operators by using hybrid projection methods and shrinking projection methods. Under some suitable conditions, we prove strong convergence theorems of such sequences to the solution of the sum of...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388757/ https://www.ncbi.nlm.nih.gov/pubmed/28458482 http://dx.doi.org/10.1186/s13660-017-1338-7 |
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author | Yuying, Tadchai Plubtieng, Somyot |
author_facet | Yuying, Tadchai Plubtieng, Somyot |
author_sort | Yuying, Tadchai |
collection | PubMed |
description | In this paper, we introduce two iterative algorithms for finding the solution of the sum of two monotone operators by using hybrid projection methods and shrinking projection methods. Under some suitable conditions, we prove strong convergence theorems of such sequences to the solution of the sum of an inverse-strongly monotone and a maximal monotone operator. Finally, we present a numerical result of our algorithm which is defined by the hybrid method. |
format | Online Article Text |
id | pubmed-5388757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-53887572017-04-27 Strong convergence theorems by hybrid and shrinking projection methods for sums of two monotone operators Yuying, Tadchai Plubtieng, Somyot J Inequal Appl Research In this paper, we introduce two iterative algorithms for finding the solution of the sum of two monotone operators by using hybrid projection methods and shrinking projection methods. Under some suitable conditions, we prove strong convergence theorems of such sequences to the solution of the sum of an inverse-strongly monotone and a maximal monotone operator. Finally, we present a numerical result of our algorithm which is defined by the hybrid method. Springer International Publishing 2017-04-11 2017 /pmc/articles/PMC5388757/ /pubmed/28458482 http://dx.doi.org/10.1186/s13660-017-1338-7 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Yuying, Tadchai Plubtieng, Somyot Strong convergence theorems by hybrid and shrinking projection methods for sums of two monotone operators |
title | Strong convergence theorems by hybrid and shrinking projection methods for sums of two monotone operators |
title_full | Strong convergence theorems by hybrid and shrinking projection methods for sums of two monotone operators |
title_fullStr | Strong convergence theorems by hybrid and shrinking projection methods for sums of two monotone operators |
title_full_unstemmed | Strong convergence theorems by hybrid and shrinking projection methods for sums of two monotone operators |
title_short | Strong convergence theorems by hybrid and shrinking projection methods for sums of two monotone operators |
title_sort | strong convergence theorems by hybrid and shrinking projection methods for sums of two monotone operators |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388757/ https://www.ncbi.nlm.nih.gov/pubmed/28458482 http://dx.doi.org/10.1186/s13660-017-1338-7 |
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