首页> 外文会议>International Conference on Domain Decomposition Methods >A Discontinuous Coarse Space (DCS) Algorithm for Cell Centered Finite Volume Based Domain Decomposition Methods: The DCS-RJMin Algorithm
【24h】

A Discontinuous Coarse Space (DCS) Algorithm for Cell Centered Finite Volume Based Domain Decomposition Methods: The DCS-RJMin Algorithm

机译:基于单元中心有限体积的域分解方法的不连续粗空间(DCS)算法:DCS-RJMin算法

获取原文

摘要

In this paper, we have introduced a new discontinuous coarse space algorithm, the DCS-RJMin, which is suitable for cell-centered finite volume discretizations. The coarse space greatly improves numerical convergence. It would be of great interest to study which is the optimal low-dimensional subspace of all piecewise discontinuous piecewise harmonic functions. Future work also includes the development of a possible alternative to a coarse space in order to get scalability: "Piecewise Krylov Methods" where the same minimization problem than the one used in DCS-RJMin is used but where the coarse space is made of piecewise (per subdomain) differences between consecutive one-level iterates.
机译:在本文中,我们介绍了一种新的不连续粗糙空间算法DCS-RJMin,它适用于以单元为中心的有限体积离散化。粗糙的空间大大改善了数值收敛性。研究哪个是所有分段不连续分段谐波函数的最优低维子空间,将是非常有意义的。未来的工作还包括开发一种可能的替代粗略空间的方法,以实现可扩展性:“ Piecewise Krylov方法”,其中使用与DCS-RJMin中使用的最小化问题相同的最小化问题,但其中粗略的空间由分段(每个子域)之间连续的一级迭代之间的差异。

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