2018
DOI: 10.1016/j.jsc.2017.07.012
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Triangular bases of integral closures

Abstract: Abstract. In this work, we consider the problem of computing triangular bases of integral closures of one-dimensional local rings.Let pK, vq be a discrete valued field with valuation ring O and let m be the maximal ideal. We take f P Orxs, a monic irreducible polynomial of degree n and consider the extension L " Krxs{pf pxqq as well as O L the integral closure of O in L, which we suppose to be finitely generated as an O-module.The algorithm MaxMin, presented in this paper, computes triangular bases of fraction… Show more

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Cited by 4 publications
(4 citation statements)
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References 14 publications
(33 reference statements)
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“…Bauch [1] and Stainsby [14], found independent algorithms, called multipliers and MaxMin respectively, which compute reduced integral bases as an application of the Montes algorithm in combination with the Single Factor Lifting algorithm (SFL) [7]. The MaxMin algorithm has the advantage of computing directly triangular reduced integral bases.…”
Section: Computational Implications An Examplementioning
confidence: 99%
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“…Bauch [1] and Stainsby [14], found independent algorithms, called multipliers and MaxMin respectively, which compute reduced integral bases as an application of the Montes algorithm in combination with the Single Factor Lifting algorithm (SFL) [7]. The MaxMin algorithm has the advantage of computing directly triangular reduced integral bases.…”
Section: Computational Implications An Examplementioning
confidence: 99%
“…Therefore, in order to compare the computational performance of the two methods, we must compare the cost of the triangulation routine (Q3) with the extra tasks of MaxMin: computation of the Okutsu approximations (part of (MM1)) and their improvements (MM3). Now, the complexity of the steps (MM1)-(MM4) [14,Thm. 3.5] is lower than the complexity of Gaussian elimination, which requires O(n 3 ) multiplications in A.…”
Section: Computational Implications An Examplementioning
confidence: 99%
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“…Our algorithm follows the approach from [16] and is based on simple linear algebra after a p-adic initialization step.…”
Section: Introductionmentioning
confidence: 99%