A Family of Nested General Linear Methods for Solving Ordinary Differential Equations

P. O. Olatunji
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Abstract

General linear methods (GLMs) was introduced as a generalization of Runge{Kutta methods (RKMs) and linear multistep methods (LMMs). The discovery of general linear method gave insight into the discovery of new methods that are neither RKMs or LMMs. Here, new classes of GLMs that are nested in their stages and mono-implicit in the output are presented, these methods are referred to as nested general linear methods (NGLMs). Procedures for deriving members that are algebraically stable are discussed herein and algebraically stable NGLMs have been derived up to order p = 5. Implementation procedure of these nested general linear methods which include the solution of non-linear systems of equations by simplified Newton iterations and step size changing strategy are discussed. The order p = 3 NGLM has been implemented on two test problems by variable step size, and the results compared with the results of MATLAB ode15s and RADAU IIA.
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求解常微分方程的一类嵌套一般线性方法
作为Runge{Kutta法(rkm)和线性多步法(lmm)的推广,引入了广义线性方法(GLMs)。一般线性方法的发现为发现既不是rkm也不是lmm的新方法提供了洞察力。在这里,提出了嵌套在其阶段和输出中单隐式的新类glm,这些方法被称为嵌套一般线性方法(nglm)。本文讨论了导出代数稳定成员的程序,并推导出了p = 5阶的代数稳定nglm。讨论了这些嵌套一般线性方法的实现过程,其中包括用简化牛顿迭代法求解非线性方程组和步长变化策略。在两个变步长测试问题上实现了p = 3阶NGLM,并将结果与MATLAB ode15s和RADAU IIA的结果进行了比较。
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