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zbMATH Open
Article . 1986
Data sources: zbMATH Open
SIAM Journal on Numerical Analysis
Article . 1986 . Peer-reviewed
Data sources: Crossref
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Stability of Collocation at Gaussian Points

Stability of collocation at Gaussian points
Authors: Ascher, U.; Bader, G.;

Stability of Collocation at Gaussian Points

Abstract

For two-point boundary value problems, where no direction of integration is distinguished, symmetric Runge-Kutta methods are of particular interest. The authors present a numerical example which shows that collocation at Gauss points gives better results than collocation at Lobatto points (although both methods are symmetric, A-stable and have the same stability function). This motivates them to look for symmetric, algebraically stable Runge-Kutta methods. They give a characterization of such methods and show that the only symmetric, algebraically stable collocation schemes are those based on Gauss points.

Keywords

Numerical solution of boundary value problems involving ordinary differential equations, symmetric Runge-Kutta methods, numerical example, Nonlinear boundary value problems for ordinary differential equations, collocation methods, algebraic stability, Gauss points, Stability and convergence of numerical methods for ordinary differential equations, Lobatto points

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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!
28
Top 10%
Top 10%
Top 10%
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