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On the complexity of polynomial reduction
Joris Van Der Hoeven 1
For the ANR-Digiteo MaGiX collaboration(s)
(2012-01-11)

In this paper, we present a new algorithm for reducing a multivariate polynomial with respect to an autoreduced tuple of other polynomials. In a suitable sparse complexity model, it is shown that the execution time is essentially the same (up to a logarithmic factor) as the time needed to verify that the result is correct. This is a first step towards making advantage of fast sparse polynomial arithmetic for the computation of Gröbner bases.
1:  Laboratoire d'informatique de l'école polytechnique (LIX)
CNRS : UMR7161 – Polytechnique - X
Computer Science/Mathematical Software
Sparse reduction – complexity – division – Groebner basis – algorithm
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