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Improved Parallel-iterated Pseudo Two-step RKN Methods for Nonstiff Problems
被引:0
|作者:
Nguyen Huu Cong
[1
]
Nguyen Van Minh
[2
]
机构:
[1] Hanoi Univ Sci, Fac Math Mech & Informat, Hanoi, Vietnam
[2] Thai Nguyen Univ, Fac Nat Sci, Thai Nguyen, Vietnam
关键词:
RKN methods;
PC methods;
Parallelism;
D O I:
暂无
中图分类号:
O1 [数学];
学科分类号:
0701 ;
070101 ;
摘要:
The aim of this paper is to consider parallel PC iteration schemes for a general class of pseudo two-step RKN methods (PTRKN methods) of arbitrary high order and arbitrary low number of implicit stages for solving nonstiff second-order IVPs y"(t) = f(y(t)), y(t(0)) = y(0), y'(t(0)) = y'(0). Starting with an s-stage pseudo two-step RKN method of order p* with w implicit stages and applying the highly parallel PC iteration process lead to a parallel-iterated PTRKN method (PIPTRKN method) (in P(CE) mE mode). By replacing in PIPTRKN method, the old predictor with a new one, we are led to a PC method (in PE(CE) E-m mode) which will be called improved PIPTRKN method (IPIPTRKN method). The resulting IPIPTRKN method uses an optimal number of processors equal to w <= p*/2. By a number of numerical experiments, we show the superiority of the IPIPTRKN methods considered in this paper over both sequential and parallel methods available in the literature.
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页码:263 / 280
页数:18
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