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zbMATH Open
Article . 1980
Data sources: zbMATH Open
SIAM Journal on Computing
Article . 1980 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.7916/d8g...
Other literature type . 1985
Data sources: Datacite
DBLP
Article . 1980
Data sources: DBLP
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On the Complexity of Composition and Generalized Composition of Power Series

On the complexity of composition and generalized composition of power series
Authors: Brent, R. P.; Traub, Joseph F.;

On the Complexity of Composition and Generalized Composition of Power Series

Abstract

Let F(x) = f1x + f2(x)(x) + . . . be a formal power series over a field Delta. Let F superscript 0(x) = x and for q = 1,2 . . . , define F superscript q(x) = F superscript (q-1) (F(x)). The obvious algorithm for computing the first n terms of F superscript q(x) is by the composition position analogue of repeated squaring. This algorithm has complexity about log 2 q times that of a single composition. The factor log 2 q can be eliminated in the computation of the first n terms of (F(x)) to the q power by a change of representation, using the logarithm and exponential functions. We show the factor log 2 q can also be eliminated for the composition problem. F superscript q(x) can often, but not always, be defined for more general q. We give algorithms and complexity bounds for computing the first n terms of F superscript q(x) whenever it is defined.

Country
United States
Keywords

fast algorithms, Analysis of algorithms and problem complexity, functional equations, Formal power series rings, Symbolic computation and algebraic computation, iteration, Computer science, 004, similarity transformations, composition, formal power series, Schroeder function

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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!
6
Average
Top 10%
Average
Green
bronze