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GENERAL LINEAR NYSTROM METHODS

Authors: D'AMBROSIO, RAFFAELE; ESPOSITO, ELENA; PATERNOSTER, Beatrice;

GENERAL LINEAR NYSTROM METHODS

Abstract

In this talk we describe the family of General Linear Nystrom methods (GLNs), which provides the extension of the family of General Linear Methods for the numerical solution of first order Ordinary Differential Equations (ODEs) [1, 2] to special second order ODEs. The family of GLNs properly includes all the classical methods already considered in the literature for y'' = f(x, y), such as linear multistep methods, Runge-Kutta-Nystrom methods, two-step hybrid methods and two-step Runge-Kutta-Nystrom methods as special cases. The family of methods we aim to consider is wider and more general with respect to the ones already considered in the literature: in fact, our new methods depend on more parameters which can be exploited, for instance, in order to provide a better balance between order of convergence and stability properties. At the same time, the theory of GLNs allows to provide an unifying approach for the analysis of the properties of convergence, consistency and stability. We present the re-formulation of the classical methods according to the new approach and the main results regarding consistency, zero-stability, convergence, order conditions and linear stability theory. Using GLNs theory, new examples of numerical methods for second order ODEs are introduced and discussed. The approach we will use is the natural extension of the General Linear Methods theory developed for first order ODEs [1, 2]. References [1] J.C. Butcher, Numerical Methods for Ordinary Differential Equations, 2nd Edition, John Wiley & Sons, Chichester, 2008. [2] Z. Jackiewicz, General Linear Methods for Ordinary Differential Equations, John Wiley & Sons, Hoboken, New Jersey, 2009.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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