Acceleration of nonlinear solvers for natural convection problems

IF 3.8 2区 数学 Q1 MATHEMATICS
Sara N. Pollock, L. Rebholz, Mengying Xiao
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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.
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。
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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.
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