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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
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SIAM Journal on Numerical Analysis
Article . 1971 . Peer-reviewed
Data sources: Crossref
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Cyclic Composite Multistep Predictor-Corrector Methods

Cyclic composite multistep predictor-corrector methods
Authors: Donelson, J. III; Hansen, Eldon;

Cyclic Composite Multistep Predictor-Corrector Methods

Abstract

Multistep predictor-corrector methods are commonly used for the numerical solution of ordinary differential equations. In its simplest form, a k-step method with accuracy of order exceeding $k+2$ is unstable. Methods such as those of Gragg and Stetter [7] and of Butcher [1] obtain high accuracy while retaining stability. However, the price paid is additional evaluation(s) of the function $f(x,y)$ occurring in the differential equation $y' = f(x,y)$. Also, there is an upper bound on the step number k. For $k > 7$ stable methods of the Gragg and Stetter or Butcher type do not exist.In this paper, we consider composite methods using M different correctors applied cyclically. Methods of this type were first discussed in [8]. Composite methods of this type may be considered from the standpoint of difference equations in M-dimensional space. We show that a composite method with accuracy of order $2k - 1$ can be stable and entails no additional computation. A small amount of extra programming is required since M...

Keywords

Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations

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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!
60
Top 10%
Top 1%
Top 10%
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