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Journal of Symbolic Computation
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Journal of Symbolic Computation
Article . 2017 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2016
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Implicitization of hypersurfaces

Authors: ABBOTT, JOHN ANTHONY; BIGATTI, ANNA MARIA; ROBBIANO, LORENZO;

Implicitization of hypersurfaces

Abstract

We present new, practical algorithms for the hypersurface implicitization problem: namely, given a parametric description (in terms of polynomials or rational functions) of the hypersurface, find its implicit equation. Two of them are for polynomial parametrizations: one algorithm, "ElimTH", has as main step the computation of an elimination ideal via a \textit{truncated, homogeneous} Gröbner basis. The other algorithm, "Direct", computes the implicitization directly using an approach inspired by the generalized Buchberger-Möller algorithm. Either may be used inside the third algorithm, "RatPar", to deal with parametrizations by rational functions. Finally we show how these algorithms can be used in a modular approach, algorithm "ModImplicit", for avoiding the high costs of arithmetic with rational numbers. We exhibit experimental timings to show the practical efficiency of our new algorithms.

Improved version to appear on the J.Symb.Comput

Country
Italy
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Keywords

FOS: Mathematics, 13P25, 13P10, 13-04, 14Q10, 68W30, Hypersurface; Implicitization; Algebra and Number Theory; Computational Mathematics, Mathematics - Commutative Algebra, Commutative Algebra (math.AC)

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citations
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
Average
Top 10%
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