2002
DOI: 10.1006/jsco.2002.0560
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The Calculation of Radical Ideals in Positive Characteristic

Abstract: We propose an algorithm for computing the radical of a polynomial ideal in positive characteristic. The algorithm does not involve polynomial factorization.

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Cited by 18 publications
(13 citation statements)
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“…Here an efficient algorithm means that if N = dim A = O(g), then we have a Las Vegas algorithm with an expected complexity that is polynomial in g, where we need to measure complexity in terms of both field operations and factorizations of degree O(N ) polynomials in k [x]. As examples of algorithms for primary decomposition and the computation of radicals, we mention Chapter 8 of [BW93], as well as the articles [EG00], [Kem02], and [DGP99], and the articles cited in their bibliographies.…”
Section: Converting From Representation a To Representation Bmentioning
confidence: 99%
“…Here an efficient algorithm means that if N = dim A = O(g), then we have a Las Vegas algorithm with an expected complexity that is polynomial in g, where we need to measure complexity in terms of both field operations and factorizations of degree O(N ) polynomials in k [x]. As examples of algorithms for primary decomposition and the computation of radicals, we mention Chapter 8 of [BW93], as well as the articles [EG00], [Kem02], and [DGP99], and the articles cited in their bibliographies.…”
Section: Converting From Representation a To Representation Bmentioning
confidence: 99%
“…However, if k does not have characteristic 0, k(u) might not be perfect. In this case, more elaborated algorithms ( [14], [18]) can be used. We will restrict to the case of characteristic 0.…”
Section: Preliminariesmentioning
confidence: 99%
“…Our routine uses the subroutine for the reduction to the zero dimensional case that is already implemented in the library primdec [5] for the computation of the radical by Krick-Logar-Kemper algorithm. We compare the times obtained by our algorithm with the algorithms implemented in primdec: Krick-Logar-Kemper ( [15], [14]) and EisenbudHuneke-Vasconcelos ([8]). The results are shown in Table 1.…”
Section: Performance Evaluationmentioning
confidence: 99%
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“…(c) Algorithms for the computation of radical ideals, as required in step (5), can be found in Becker and Weispfenning [2, Chapter 9], Derksen and Kemper [8, Section 1.5], and Kemper [14]. The latter two references provide algorithms for the case of positive characteristic which is relevant here.…”
Section: Computing the Normalizationmentioning
confidence: 99%