...
首页> 外文期刊>SIAM Journal on Numerical Analysis >PARALLEL DOMAIN DECOMPOSITION SOLVER FOR ADAPTIVE HP FINITE ELEMENT METHODS
【24h】

PARALLEL DOMAIN DECOMPOSITION SOLVER FOR ADAPTIVE HP FINITE ELEMENT METHODS

机译:自适应HP有限元方法的并行域分解求解器

获取原文
获取原文并翻译 | 示例

摘要

In this paper, the development and implementation of highly parallelizable domain decomposition solvers for adaptive hp finite element methods is discussed. Two-level orthogonalization is used to obtain a reduced system which is preconditioned by a coarse grid operator. The condition number of the preconditioned system, fur Poisson problems in two space dimensions, is proved to be bounded by C(1 + log Hp/h)(2)(1 + log p)(2) and Cp(1 + log Hp/h)(2)(1 + log p)2 for different choices of coarse grid operators, where H is the subdomain size, p is the maximum spectral order, h is the size of the smallest element in the subdomain, and C is a constant independent of the mesh parameters. The work here extends the work of Bramble et al. [Math Comp.: 47 (1986), pp. 103-134] on the h-version and Babuska et al. [SIAM J. Numer. Anal., 29 (1991), pp. 623-661] on the p-version of the finite element method. A preliminary version of this solver nas first announced by Oden, Patra, and Feng in [Domain Decomposition Solver Sor Adaptive hp Finite Elements, VII Conference on Domain Decomposition, State College, PA, October 1993]. Numerical experiments show fast convergence of the solver and good control of the condition number on a variety of discretizations. [References: 20]
机译:本文讨论了自适应hp有限元方法的高度可并行化的领域分解求解器的开发与实现。两级正交化用于获得由粗网格算子进行预处理的简化系统。证明了预条件系统的条件数,即二维空间中的泊松问题,以C(1 + log Hp / h)(2)(1 + log p)(2)和Cp(1 + log Hp)为边界/ h)(2)(1 + log p)2用于不同的粗网格算子选择,其中H是子域大小,p是最大谱阶,h是子域中最小元素的大小,C是与网格参数无关的常数。这里的工作扩展了Bramble等人的工作。 [Hath版本的[Math Comp .: 47(1986),pp。103-134]]和Babuska等人。 [SIAM J. Numer。 [Anal。,29(1991),pp。623-661]讨论了有限元方法的p版本。 Oden,Patra和Feng在[Domain Decomposition Solver Sor Adaptive hp Finite Elements,域分解第七次会议,宾夕法尼亚州州立大学,1993年10月]中首次宣布了此求解器的初步版本。数值实验显示了求解器的快速收敛性以及对各种离散化条件值的良好控制。 [参考:20]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号