2015
DOI: 10.1016/j.jnnms.2015.01.001
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Implicit two-derivative Runge–Kutta collocation methods for systems of initial value problems

Abstract: We introduce a new class of implicit two-derivative Runge-Kutta collocation methods designed for the numerical solution of systems of equations and show how they have been implemented in an efficient parallel computing environment. We also discuss the difficulty associated with large systems and how, in this case, one must take advantage of the second derivative terms in the methods. We consider two modified versions of the methods which are suitable for solving stable systems. The first modification involves … Show more

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Cited by 7 publications
(4 citation statements)
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“…Runge-Kutta method is a high-precision single-step algorithm for numerical solutions of ordinary differential equations [21][22][23][24]. For integral differential equation 12, from to +1 , we obtain…”
Section: Runge-kutta Methods For Numerical Conformal Mapping Of Doublymentioning
confidence: 99%
“…Runge-Kutta method is a high-precision single-step algorithm for numerical solutions of ordinary differential equations [21][22][23][24]. For integral differential equation 12, from to +1 , we obtain…”
Section: Runge-kutta Methods For Numerical Conformal Mapping Of Doublymentioning
confidence: 99%
“…Lastly, the method outlined in Lambert [ 61 ] and Yakubu et al [ 66 ] is used to analyze and discuss the stability of the ISBS. …”
Section: The Analysis Of the Isbsmentioning
confidence: 99%
“…In this research paper, we have proposed new efficient techniques as alternative methods to some well-known methods 5,8,11 to solve pharmacokinetic models. The new techniques are called continuous block implicit hybrid one-step collocation methods, developed based on Legendre polynomial nodes that have better stability regions over a wide range of parameters (see Yakubu et al 20 and Yakubu and Kwami 21 ). The motivation for these methods, particularly the use of Gauss family of methods, is that collocation at Gauss points lead to methods which are symmetric and algebraically stable (see e.g.…”
Section: Numerical Computational Techniquesmentioning
confidence: 99%