首页> 外文期刊>Mathematical Problems in Engineering >A Hybrid Algorithm Based on Optimal Quadratic Spline Collocation and Parareal Deferred Correction for Parabolic PDEs
【24h】

A Hybrid Algorithm Based on Optimal Quadratic Spline Collocation and Parareal Deferred Correction for Parabolic PDEs

机译:基于最优二次样条搭配和抛物线延迟校正的抛物线偏微分方程混合算法

获取原文
获取原文并翻译 | 示例
           

摘要

Parareal is a kind of time parallel numerical methods for time-dependent systems. In this paper, we consider a general linear parabolic PDE, use optimal quadratic spline collocation (QSC) method for the space discretization, and proceed with the parareal technique on the time domain. Meanwhile, deferred correction technique is also used to improve the accuracy during the iterations. In fact, the optimal QSC method is a correction of general QSC method. Along the temporal direction we embed the iterations of deferred correction into parareal to construct a hybrid method, parareal deferred correction (PDC) method. The error estimation is presented and the stability is analyzed. To save computational cost, we find out a simple way to balance the two kinds of iterations as much as possible. We also argue that the hybrid algorithm has better system efficiency and costs less running time. Numerical experiments by multicore computers are attached to exhibit the effectiveness of the hybrid algorithm.
机译:Parareal是一种用于时间相关系统的时间并行数值方法。在本文中,我们考虑了一般的线性抛物线PDE,使用最佳二次样条搭配(QSC)方法进行空间离散化,并在时域上进行了超现实技术。同时,还使用了延迟校正技术来提高迭代过程中的精度。实际上,最佳QSC方法是对一般QSC方法的修正。沿着时间方向,我们将延迟校正的迭代嵌入到parareal中,以构造混合方法,即parareal延迟校正(PDC)方法。给出了误差估计并分析了稳定性。为了节省计算成本,我们找到了一种尽可能平衡两种迭代的简单方法。我们还认为,混合算法具有更好的系统效率和更少的运行时间。附加了多核计算机的数值实验,以展示混合算法的有效性。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2016年第5期|6943079.1-6943079.15|共15页
  • 作者

    Liu Jun; Wang Yan; Li Rongjian;

  • 作者单位

    China Univ Petr East China, Coll Sci, Qingdao 266580, Shandong, Peoples R China;

    China Univ Petr East China, Coll Sci, Qingdao 266580, Shandong, Peoples R China;

    Old Dominion Univ, Dept Comp Sci, Norfolk, VA 23508 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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