Generalized enright-type symmetric methods for the solution of boundary value problems

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
T. Okor , G.C. Nwachukwu
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引用次数: 0

Abstract

This study details the modification and generalization of the conventional Enright method to achieve highly stable symmetric boundary value methods (BVMs) with improved order (k+3) and accuracy for the numerical solution of boundary value problems (BVPs). BVMs are natural candidate for the solution of BVPs when constructed well. The class of methods developed herein is of the family of second derivative linear multistep formulas (LMF). Most LMF available for the numerical solution of BVPs are either of first derivative or specialized higher derivative. However, such schemes give little or no room for modifications to improve order, stability and accuracy, hence, the literature available for numerical solutions of BVPs is not nearly plentiful compared with the vast literature for initial value problems (IVPs). The new class of methods poses to be very promising as it possesses the potential of being more accurate for the same order than the usual prominent symmetric BVMs found in the literature. The numerical experimentations of the new scheme on standard BVPs emphasized their usefulness.
边值问题的广义enright型对称解法
本文对传统的Enright方法进行了改进和推广,以获得高度稳定的对称边值方法(BVMs),提高了边值问题数值解的阶数(k+3)和精度。当构建良好时,bvm是解决bvp的自然候选者。本文所建立的方法属于二阶导数线性多阶公式(LMF)族。大多数可用于bvp数值解的LMF要么是一阶导数,要么是专门的高阶导数。然而,这些方案很少或根本没有修改的余地来提高顺序,稳定性和准确性,因此,与初值问题(IVPs)的大量文献相比,bvp数值解的文献并不丰富。这类新方法是非常有前途的,因为它具有比文献中发现的通常突出的对称bvm更精确的潜力。新格式在标准bvp上的数值实验强调了其有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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