Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zeng, Jinping, Chen, Haowen, Xu, Hongru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
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
_version_ 1783266185021751296
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
work_keys_str_mv AT zengjinping quadraticconvergenceofmonotoneiteratesforsemilinearellipticobstacleproblems
AT chenhaowen quadraticconvergenceofmonotoneiteratesforsemilinearellipticobstacleproblems
AT xuhongru quadraticconvergenceofmonotoneiteratesforsemilinearellipticobstacleproblems