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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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Article
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SIAM Journal on Computing
Article . 1975 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1975
Data sources: DBLP
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The Computation of Powers of Symbolic Polynomials

The computation of powers of symbolic polynomials
Authors: Ellis Horowitz; Sartaj Sahni;

The Computation of Powers of Symbolic Polynomials

Abstract

Recent results on the computation of powers of symbolic polynomials are reviewed in perspective. Then a new algorithm is given which computes the nth power of a completely sparse polynomial using a linear number of multiplications. This is followed by experimental results comparing the new algorithm to iteration using both completely sparse and completely dense polynomials as data.

Keywords

Analysis of algorithms and problem complexity, Numerical computation of solutions to systems of equations, Numerical computation of solutions to single equations, Symbolic computation and algebraic computation

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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
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