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http://arxiv.org/pdf/math/0603...
Part of book or chapter of book
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https://doi.org/10.1007/117920...
Part of book or chapter of book . 2006 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2006
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Efficiently Computable Endomorphisms for Hyperelliptic Curves

Authors: David R. Kohel; Benjamin A. Smith;

Efficiently Computable Endomorphisms for Hyperelliptic Curves

Abstract

Elliptic curves have a well-known and explicit theory for the construction and application of endomorphisms, which can be applied to improve performance in scalar multiplication. Recent work has extended these techniques to hyperelliptic Jacobians, but one obstruction is the lack of explicit models of curves together with an efficiently computable endomorphism. In the case of hyperelliptic curves there are limited examples, most methods focusing on special CM curves or curves defined over a small field. In this article we describe three infinite families of curves which admit an efficiently computable endomorphism, and give algorithms for their efficient application.

15 pages, LaTeX with xy-pic and algorithmicx packages. To appear in the proceedings of the 7th Algorithmic Number Theory Symposium (ANTS-VII), Berlin, July 2006

Related Organizations
Keywords

Mathematics - Algebraic Geometry, Mathematics - Number Theory, 14Q05, FOS: Mathematics, 11Y16; 11G; 14Q05, 11G, Number Theory (math.NT), 11Y16, Algebraic Geometry (math.AG)

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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
Average
Average
Green