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arXiv 1401.7824math.NAcs.NA
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不精确谱延迟校正

Inexact spectral deferred corrections

Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH(于利希超级计算中心,于利希研究中心有限公司);Institute of Computational Science, Università della Svizzera italiana(意大利瑞士大学计算科学研究所);Institute for Computational and Mathematical Engineering, Stanford University(斯坦福大学计算与数学工程研究所);Center for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory(劳伦斯伯克利国家实验室计算科学与工程中心)

Robert Speck, Daniel Ruprecht, Michael Minion, Matthew Emmett, Rolf Krause

AI总结:

本文提出了一种不精确的谱延迟校正方法,通过使用多网格V循环替代线性系统求解,显著降低每扫掠的计算成本,同时保持了较高的精度。

摘要:

本文提出了一种不精确的谱延迟校正方法,通过使用多网格V循环替代线性系统求解,显著降低每扫掠的计算成本,同时保持了较高的精度。

英文摘要:

Spectral deferred correction (SDC) methods are an attractive approach to iteratively computing collocation solutions to an ODE by performing so-called sweeps with a low-order time stepping method. SDC allows to easily construct high order split methods where e.g. stiff terms of the ODE are treated implicitly. This requires the solution to full accuracy of multiple linear systems of equations during each sweep, e.g. with a multigrid method. In this paper, we present an inexact variant of SDC, where each solve of a linear system is replaced by a single multigrid V-cycle and thus significantly reduces the cost for each sweep. For the investigated examples, this strategy results only in a small increase of the number of required sweeps and we demonstrate that "inexact spectral deferred corrections" can provide a dramatic reduction of the overall number of multigrid V-cycles required to complete an SDC time step.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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