Energy-Preserving Parareal-RKN Algorithms for Hamiltonian Systems
作者机构:School of Mathematics and StatisticsNorthwestern Polytechnical UniversityXi’an 710072P.R.China School of Mathematics and StatisticsXi’an Jiaotong UniversityXi’an 710049P.R.China
出 版 物:《Numerical Mathematics(Theory,Methods and Applications)》 (高等学校计算数学学报(英文版))
年 卷 期:2024年第17卷第1期
页 面:121-144页
核心收录:
学科分类:07[理学] 070102[理学-计算数学] 0701[理学-数学]
基 金:supported by the NSFC(Grants 12371403,12271426) by the Key Research and Development Projects of Shaanxi Province(Grant 2023-YBSF-399)
主 题:Parareal methods Runge-Kutta-Nystrom methods Hamiltonian systems energy conservation
摘 要:In this paper,we formulate and analyse a kind of parareal-RKN algo-rithms with energy conservation for Hamiltonian *** proposed algorithms are constructed by using the ideas of parareal methods,Runge-Kutta-Nystrom(RKN)methods and projection *** is shown that the algorithms can exactly pre-serve the energy of Hamiltonian ***,the convergence of the integra-tors is rigorously *** numerical experiments are carried out to support the theoretical results presented in this paper and show the numerical behaviour of the derived algorithms.