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Computing
Article . 1979 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Article
Data sources: zbMATH Open
DBLP
Article . 2020
Data sources: DBLP
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Linear difference equations and generalized continued fractions

Authors: Paul van der Cruyssen;

Linear difference equations and generalized continued fractions

Abstract

In one of his papers [5] Gautschi presents an algorithm for determining the minimal solution of a second-order homogeneous difference equation. The method is based on the connection between the existence of a minimal solution of such a difference equation and the convergence of a certain continued fraction. In the present paper, these results are generalized. For this purpose we use the concept of generalized continued fraction. The resulting algorithm is suitable for solving (n+1)-th order recursions (n≥1) for which there existn independent solutions that are dominated by each solution that does not belong to the space spanned by thesen solutions.

Related Organizations
Keywords

Minimal Solution, Numerical methods for functional equations, Convergence and divergence of continued fractions, Additive difference equations, Generalized Continued Fraction, Second-Order Homogeneous Difference Equation

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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!
24
Average
Top 10%
Average
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