构建六阶二衍 Runge-Kutta 方法

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Algorithms Pub Date : 2023-12-06 DOI:10.3390/a16120558
Z. Kalogiratou, T. Monovasilis
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引用次数: 0

摘要

Chan和Tsai在2010年提出了二阶龙格-库塔方法,并给出了五阶以下的阶条件。在这项工作中,我们首次导出了六阶方程的有序条件。简化假设,减少订购条件的数量也给出了。给出了构造六阶方法的步骤。为了说明该过程,推导了一个具体的方法;该方法是六阶代数阶,具有较低的相位滞后和放大误差。为了进行数值比较,用Chan和Tsai开发的七阶二阶龙格-库塔方法和几种6阶和8阶龙格-库塔方法解决了五个著名的测试问题。最大绝对误差与计算时间的关系图表明了新方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of Two-Derivative Runge–Kutta Methods of Order Six
Two-Derivative Runge–Kutta methods have been proposed by Chan and Tsai in 2010 and order conditions up to the fifth order are given. In this work, for the first time, we derive order conditions for order six. Simplifying assumptions that reduce the number of order conditions are also given. The procedure for constructing sixth-order methods is presented. A specific method is derived in order to illustrate the procedure; this method is of the sixth algebraic order with a reduced phase-lag and amplification error. For numerical comparison, five well-known test problems have been solved using a seventh-order Two-Derivative Runge–Kutta method developed by Chan and Tsai and several Runge–Kutta methods of orders 6 and 8. Diagrams of the maximum absolute error vs. computation time show the efficiency of the new method.
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来源期刊
Algorithms
Algorithms Mathematics-Numerical Analysis
CiteScore
4.10
自引率
4.30%
发文量
394
审稿时长
11 weeks
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