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Computational uncertainty principle in nonlinear ordinary differential equations (I)——Numerical results  
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【英文篇名】 Computational uncertainty principle in nonlinear ordinary differential equations (I)——Numerical results
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【作者】 李建平; 曾庆存; 丑纪范;
【英文作者】 LI Jianping ZENG Qingcun; & CHOU Jifan; State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG); Institute of Atmospheric Physics; Chinese Academy of Sciences; Beijing 100029; China; Department of Atmospheric Sciences; Lanzhou University; Lanzhou 730000; China Correspondence should be addressed to Li Jianping;
【作者单位】 State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG); Institute of Atmospheric Physics; Chinese Academy of Sciences; Beijing; China; Department of Atmospheric Sciences; Lanzhou University; Lanzhou;
【文献出处】 Science in China(Series E:Technological Sciences) , 中国科学(E辑:技术科学)(英文版), 编辑部邮箱 2000年 05期  
期刊荣誉:ASPT来源刊  CJFD收录刊
【英文关键词】 ordinary differential equations (ODEs); computational uncertainty principle; round-off error; discretization error; strong dependence on machine precision; maximally effective computation time (MECT); optimal stepsize (OS); universal relation; no;
【摘要】 <正> In a majority of cases of long-time numerical integration for initial-value problems, roundoff error has received little attention. Using twenty-nine numerical methods, the influence of round-off error on numerical solutions is generally studied through a large number of numerical experiments. Here we find that there exists a strong dependence on machine precision (which is a new kind of dependence different from the sensitive dependence on initial conditions), maximally effective computation time (MECT...
【英文摘要】 In a majority of cases of long-time numerical integration for initial-value problems, roundoff error has received little attention. Using twenty-nine numerical methods, the influence of round-off error on numerical solutions is generally studied through a large number of numerical experiments. Here we find that there exists a strong dependence on machine precision (which is a new kind of dependence different from the sensitive dependence on initial conditions), maximally effective computation time (MECT) an...
【分类号】 O241.8
【正文快照】 Since most ODEs cannot be analytically solved,it is necessary to get their approximate solu—tions by numerical methods L。一川.When solving an initial value problem by any discrete variablemethod。there ale two basic sources of error:discretization error

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中国学术期刊网络出版总库
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