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Quadratic convergence of monotone iterates for semilinear elliptic obstacle problems
In this paper, we consider the numerical solution for the discretization of semilinear elliptic complementarity problems. A monotone algorithm is established based on the upper and lower solutions of the problem. It is proved that iterates, generated by the algorithm, are a pair of upper and lower s...
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/PMC5613105/ https://www.ncbi.nlm.nih.gov/pubmed/29026281 http://dx.doi.org/10.1186/s13660-017-1513-x |
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author | Zeng, Jinping Chen, Haowen Xu, Hongru |
author_facet | Zeng, Jinping Chen, Haowen Xu, Hongru |
author_sort | Zeng, Jinping |
collection | PubMed |
description | In this paper, we consider the numerical solution for the discretization of semilinear elliptic complementarity problems. A monotone algorithm is established based on the upper and lower solutions of the problem. It is proved that iterates, generated by the algorithm, are a pair of upper and lower solution iterates and converge monotonically from above and below, respectively, to the solution of the problem. Moreover, we investigate the convergence rate for the monotone algorithm and prove quadratic convergence of the algorithm. The monotone and quadratic convergence results are also extended to the discrete problems of the two-sided obstacle problems with a semilinear elliptic operator. We also present some simple numerical experiments. |
format | Online Article Text |
id | pubmed-5613105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-56131052017-10-10 Quadratic convergence of monotone iterates for semilinear elliptic obstacle problems Zeng, Jinping Chen, Haowen Xu, Hongru J Inequal Appl Research In this paper, we consider the numerical solution for the discretization of semilinear elliptic complementarity problems. A monotone algorithm is established based on the upper and lower solutions of the problem. It is proved that iterates, generated by the algorithm, are a pair of upper and lower solution iterates and converge monotonically from above and below, respectively, to the solution of the problem. Moreover, we investigate the convergence rate for the monotone algorithm and prove quadratic convergence of the algorithm. The monotone and quadratic convergence results are also extended to the discrete problems of the two-sided obstacle problems with a semilinear elliptic operator. We also present some simple numerical experiments. Springer International Publishing 2017-09-25 2017 /pmc/articles/PMC5613105/ /pubmed/29026281 http://dx.doi.org/10.1186/s13660-017-1513-x 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 Zeng, Jinping Chen, Haowen Xu, Hongru Quadratic convergence of monotone iterates for semilinear elliptic obstacle problems |
title | Quadratic convergence of monotone iterates for semilinear elliptic obstacle problems |
title_full | Quadratic convergence of monotone iterates for semilinear elliptic obstacle problems |
title_fullStr | Quadratic convergence of monotone iterates for semilinear elliptic obstacle problems |
title_full_unstemmed | Quadratic convergence of monotone iterates for semilinear elliptic obstacle problems |
title_short | Quadratic convergence of monotone iterates for semilinear elliptic obstacle problems |
title_sort | quadratic convergence of monotone iterates for semilinear elliptic obstacle problems |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613105/ https://www.ncbi.nlm.nih.gov/pubmed/29026281 http://dx.doi.org/10.1186/s13660-017-1513-x |
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