抽象描述中的Richardson-Kalitkin方法

A. Baddour, M. Malykh
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引用次数: 4

摘要

摘要给出了Richardson-Kalitkin方法的抽象描述,该方法用于获得常微分方程(ODE)初始问题的精确近似解的后验估计。考虑了问题Γ{\Rho}},其解产生实数uu。为了解决这个问题,使用了一种数值方法,即集合Hℝ{H\subet\mathbb{R}}和映射uh:Hℝ{u_h:h\to\mathbb{R}},其值可以构造性地计算。假设0是集合HH的极限点,并且uh{u_h}可以在h:uh=u+c1hk+…的幂的收敛级数中展开。。。{h:u_h=u+c_1h^k+…}。在这种非常普遍的情况下,RichardsonKalitkin方法被公式化,用于从uh{u_h}的两个值获得uu和cc的估计。考虑了使用更大数量的uh{u_h}值来获得这样的估计的问题。举例说明了这一理论。结果表明,Richardson-Kalitkin方法可以成功地应用于不仅用有限差分法求解的问题。
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Richardson-Kalitkin method in abstract description
An abstract description of the RichardsonKalitkin method is given for obtaining a posteriori estimates for the proximity of the exact and found approximate solution of initial problems for ordinary differential equations (ODE). The problem Ρ{{\Rho}} is considered, the solution of which results in a real number uu. To solve this problem, a numerical method is used, that is, the set Hℝ{H\subset \mathbb{R}} and the mapping uh:Hℝ{u_h:H\to\mathbb{R}} are given, the values of which can be calculated constructively. It is assumed that 0 is a limit point of the set HH and uh{u_h} can be expanded in a convergent series in powers of h:uh=u+c1hk+...{h:u_h=u+c_1h^k+...}. In this very general situation, the RichardsonKalitkin method is formulated for obtaining estimates for uu and cc from two values of uh{u_h}. The question of using a larger number of uh{u_h} values to obtain such estimates is considered. Examples are given to illustrate the theory. It is shown that the RichardsonKalitkin approach can be successfully applied to problems that are solved not only by the finite difference method.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
20
审稿时长
10 weeks
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