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Computational complexity of weighted splitting schemes on parallel computers

机译:并行计算机上加权拆分方案的计算复杂性

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摘要

In models of complicated physical-chemical processes operator splitting is very often applied in order to achieve sufficient accuracy as well as efficiency of the numerical solution. The recently rediscovered weighted splitting schemes have the great advantage of being parallelizable on operator level, which allows us to reduce the computational time if parallel computers are used. In this paper, the computational times needed for the weighted splitting methods are studied in comparison with the sequential (S) splitting and the Marchuk-Strang (MSt) splitting and are illustrated by numerical experiments performed by use of simplified versions of the Danish Eulerian model (DEM).
机译:在复杂的物理化学过程模型中,为了获得足够的精度和数值解的效率,经常使用运算符拆分。最近重新发现的加权拆分方案具有在操作员级别可并行化的巨大优势,这使我们能够减少使用并行计算机时的计算时间。在本文中,与顺序(S)拆分和Marchuk-Strang(MSt)拆分相比,研究了加权拆分方法所需的计算时间,并通过使用丹麦欧拉模型的简化版本进行的数值实验进行了说明(DEM)。

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