2011
DOI: 10.5802/jtnb.782
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Higher Newton polygons in the computation of discriminants and prime ideal decomposition in number fields

Abstract: We present an algorithm for computing discriminants and prime ideal decomposition in number fields. The algorithm is a refinement of a p-adic factorization method based on Newton polygons of higher order. The running-time and memory requirements of the algorithm appear to be very good: for a given prime number p, it computes the p-valuation of the discriminant and the factorization of p in a number field of degree 1000 in a few seconds, in a personal computer.

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Cited by 49 publications
(83 citation statements)
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“…Our proof relies on the work of Guàrdia, Montes, and Nart [9,10,11]. In particular, the computation of the index comes from an analysis of specialized Newton polygons, which we describe in Section 4.…”
Section: T Alden Gassertmentioning
confidence: 99%
See 1 more Smart Citation
“…Our proof relies on the work of Guàrdia, Montes, and Nart [9,10,11]. In particular, the computation of the index comes from an analysis of specialized Newton polygons, which we describe in Section 4.…”
Section: T Alden Gassertmentioning
confidence: 99%
“…We compute ind(Φ) using a relatively recent algorithm derived by Guàrdia, Montez, and Nart [9,10,11]. Their method employs a more refined variation of the Newton polygon, called the φ-Newton polygon, which captures arithmetic data attached to each irreducible factor φ of Φ.…”
Section: Theorem Of the Indexmentioning
confidence: 99%
“…This is the case, for instance, when L/K is separable, or K is complete, or A is a finitely generated algebra over a field [15,Ch.I,§4].…”
Section: Reduced Integral Basesmentioning
confidence: 99%
“…, ν n are known. Such a basis is provided, for instance, by the method of the quotients [6], or the multipliers method [1], both based on the Montes algorithm [5,4].…”
Section: By Theorem 33 and Lemma 23 The Familymentioning
confidence: 99%
“…Let us sketch the application of Montes algorithm [HN08], [GMN08] (HN stands for "higher Newton"). The design of the algorithm will be described in more detail in Section 2.…”
Section: Introductionmentioning
confidence: 99%