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Faster initial splitting for small characteristic composite extension degree fields

机译:更快的初始分裂用于小特征复合延伸度字段

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摘要

Let p be a small prime and n = n(1)n(2) 1 be a composite integer. For the function field sieve algorithm applied to F-pn, Guillevic (2019) had proposed an algorithm for initial splitting of the target in the individual logarithm phase. This algorithm generates polynomials and tests them for B-smoothness for some appropriate value of B. The amortised cost of generating each polynomial is O(n(2)(2)) multiplications over F-pn1. In this work, we propose a new algorithm for performing the initial splitting which also generates and tests polynomials for B-smoothness. The advantage over Guillevic splitting is that in the new algorithm, the cost of generating a polynomial is O(n log(p) (1/pi)) multiplications in F-p, where pi is the relevant smoothness probability. (C) 2019 Elsevier Inc. All rights reserved.
机译:让p是一个小的素数,n = n(1)n(2)> 1是复合整数。对于应用于F-PN的功能场筛算法,Guillevic(2019)提出了一种用于在各个对数阶段的初始分割目标的算法。该算法生成多项式,并测试它们的B平滑度,用于B的某个适当值B.产生每个多项式的摊销成本是O(n(2)(2))乘以F-PN1。在这项工作中,我们提出了一种用于执行初始分裂的新算法,其也产生和测试B平滑度的多项式。在Guillevic分裂上的优点是,在新算法中,在F-P中产生多项式的成本是o(n log(p)乘法,其中pi是相关的平滑度概率。 (c)2019 Elsevier Inc.保留所有权利。

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