Approximate computation of errors in numerical integration of ordinary differential equations by one-step methods

Hisayoshi Shintani
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引用次数: 3

Abstract

where f(x, y) is assumed to be a sufficiently smooth function. In numerous papers [1 — 16], various methods are obtained for bounding or approximating the errors in numerical integration of (1.1) by one-step methods with the aids of the functions that bound or approximate the function fy (#, y), the truncation error and so on. To avoid the use of such functions for practical purposes, in this paper, n steps of integration with a fixed step-size are considered as one step and a simple method is obtained for approximating the errors without computing explicitly any function other than f(x, y). The method is illustrated by two numerical examples. Since usually the step-size is not changed so often and the estimate of the error is not always necessary for each step of integration, it will not be a serious restriction to fix the step-size for the n steps of integration, and this method may be used as an integration method with a check on the accuracy of the numerical solution.
用一步法近似计算常微分方程数值积分误差
假设f(x, y)是一个足够光滑的函数。在许多文献[1 - 16]中,利用约束或近似函数fy (#, y)的函数、截断误差等,得到了用一步法限定或近似式(1.1)数值积分误差的各种方法。为了避免在实际应用中使用这类函数,本文将固定步长的n步积分视为一步,得到了一种简单的逼近误差的方法,无需显式计算除f(x, y)以外的任何函数。由于通常步长不会经常改变,并且对于每一步积分并不总是需要估计误差,因此对于n步积分固定步长不会是一个严重的限制,并且该方法可以作为一种积分方法来检查数值解的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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