Acceleration of nonlinear solvers for natural convection problems

IF 3.8 2区 数学 Q1 MATHEMATICS Journal of Numerical Mathematics Pub Date : 2020-04-14 DOI:10.1515/jnma-2020-0067
Sara N. Pollock, L. Rebholz, Mengying Xiao
{"title":"Acceleration of nonlinear solvers for natural convection problems","authors":"Sara N. Pollock, L. Rebholz, Mengying Xiao","doi":"10.1515/jnma-2020-0067","DOIUrl":null,"url":null,"abstract":"Abstract This paper develops an efficient and robust solution technique for the steady Boussinesq model of non-isothermal flow using Anderson acceleration applied to a Picard iteration. After analyzing the fixed point operator associated with the nonlinear iteration to prove that certain stability and regularity properties hold, we apply the authors’ recently constructed theory for Anderson acceleration, which yields a convergence result for the Anderson accelerated Picard iteration for the Boussinesq system. The result shows that the leading term in the residual is improved by the gain in the optimization problem, but at the cost of additional higher order terms that can be significant when the residual is large. We perform numerical tests that illustrate the theory, and show that a 2-stage choice of Anderson depth can be advantageous. We also consider Anderson acceleration applied to the Newton iteration for the Boussinesq equations, and observe that the acceleration allows the Newton iteration to converge for significantly higher Rayleigh numbers that it could without acceleration, even with a standard line search.","PeriodicalId":50109,"journal":{"name":"Journal of Numerical Mathematics","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2020-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Numerical Mathematics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1515/jnma-2020-0067","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 9

Abstract

Abstract This paper develops an efficient and robust solution technique for the steady Boussinesq model of non-isothermal flow using Anderson acceleration applied to a Picard iteration. After analyzing the fixed point operator associated with the nonlinear iteration to prove that certain stability and regularity properties hold, we apply the authors’ recently constructed theory for Anderson acceleration, which yields a convergence result for the Anderson accelerated Picard iteration for the Boussinesq system. The result shows that the leading term in the residual is improved by the gain in the optimization problem, but at the cost of additional higher order terms that can be significant when the residual is large. We perform numerical tests that illustrate the theory, and show that a 2-stage choice of Anderson depth can be advantageous. We also consider Anderson acceleration applied to the Newton iteration for the Boussinesq equations, and observe that the acceleration allows the Newton iteration to converge for significantly higher Rayleigh numbers that it could without acceleration, even with a standard line search.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
自然对流问题非线性解算器的加速
摘要本文提出了一种将Anderson加速度应用于Picard迭代的非等温流动稳态Boussinesq模型的高效鲁棒求解技术。在分析了与非线性迭代相关的不动点算子,证明其具有一定的稳定性和正则性之后,我们将作者最近构造的Anderson加速理论应用于Boussinesq系统,得到了Anderson加速Picard迭代的收敛性结果。结果表明,残差中的领先项通过优化问题的增益得到改善,但代价是附加的高阶项在残差较大时非常重要。我们进行了数值试验来说明这一理论,并表明两个阶段的安德森深度选择是有利的。我们还考虑将安德森加速度应用于Boussinesq方程的牛顿迭代,并观察到加速度允许牛顿迭代收敛到明显更高的瑞利数,即使没有加速度,也可以使用标准线搜索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.90
自引率
3.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: The Journal of Numerical Mathematics (formerly East-West Journal of Numerical Mathematics) contains high-quality papers featuring contemporary research in all areas of Numerical Mathematics. This includes the development, analysis, and implementation of new and innovative methods in Numerical Linear Algebra, Numerical Analysis, Optimal Control/Optimization, and Scientific Computing. The journal will also publish applications-oriented papers with significant mathematical content in computational fluid dynamics and other areas of computational engineering, finance, and life sciences.
期刊最新文献
On the discrete Sobolev inequalities Stability and convergence of relaxed scalar auxiliary variable schemes for Cahn–Hilliard systems with bounded mass source Efficient numerical solution of the Fokker-Planck equation using physics-conforming finite element methods Fundamental Theory and R-linear Convergence of Stretch Energy Minimization for Spherical Equiareal Parameterization A posteriori error estimate for a WG method of H(curl)-elliptic problems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1