2015
DOI: 10.3844/ajassp.2015.304.320
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A Comparison of Explicit Semi-Analytical Numerical Integration Methods for Solving Stiff ODE Systems

Abstract: Abstract:In this study, a comparison among three semi-analytical numerical integration algorithms for solving stiff ODE systems is presented. The algorithms are based on Differential Transform Method (DTM) which are Multiple-Step DTM (MsDTM), Enhanced MsDTM (EMsDTM) and MsDTM with Padé approximants (MsDTM-P). These methods can be classified as explicit one step semi-analytical numerical integration methods. The error and stability analysis of each method is presented. New important relationships among the meth… Show more

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Cited by 5 publications
(1 citation statement)
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“…Moreover, the Taylor-like method [11] is an arbitrary high order A-stable method that avoids extremely small stepsizes during the integration procedure. To avoid the analytical computation of the successive derivatives involved in the Taylor-like methods, numerical differentiation [21,22], automatic differentiation [23], differential transformation [24][25][26] and Infinity Computer with a new numeral system [27][28][29][30][31][32] can be used. In fact, Taylor-like explicit methods [5,7,[9][10][11] have computational drawbacks with zero-component derivative or zero-vector norm in their component or vector forms, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the Taylor-like method [11] is an arbitrary high order A-stable method that avoids extremely small stepsizes during the integration procedure. To avoid the analytical computation of the successive derivatives involved in the Taylor-like methods, numerical differentiation [21,22], automatic differentiation [23], differential transformation [24][25][26] and Infinity Computer with a new numeral system [27][28][29][30][31][32] can be used. In fact, Taylor-like explicit methods [5,7,[9][10][11] have computational drawbacks with zero-component derivative or zero-vector norm in their component or vector forms, respectively.…”
Section: Introductionmentioning
confidence: 99%