时间有限域上的多项式乘法 \( O(n \log n \)

David Harvey, J. van der Hoeven
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引用次数: 32

摘要

假设一个被广泛相信的关于等差数列中最小素数的假设,我们证明了在一个有限域\( \mathbb {F}_q \)上含有\( q \)元素的次数小于\( n \)的多项式可以在时间\( O (n \log q \log (n \log q)) \)上均匀地在\( q \)上相乘。在相同的假设下,我们展示了如何将两个\( n \)位整数在时间\( O (n \log n) \)上相乘;该算法比同伴论文[22]中的无条件算法要简单一些。我们的结果适用于图灵机模型中有限数量的磁带。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Polynomial Multiplication over Finite Fields in Time \( O(n \log n \)
Assuming a widely believed hypothesis concerning the least prime in an arithmetic progression, we show that polynomials of degree less than \( n \) over a finite field \( \mathbb {F}_q \) with \( q \) elements can be multiplied in time \( O (n \log q \log (n \log q)) \) , uniformly in \( q \) . Under the same hypothesis, we show how to multiply two \( n \) -bit integers in time \( O (n \log n) \) ; this algorithm is somewhat simpler than the unconditional algorithm from the companion paper [22]. Our results hold in the Turing machine model with a finite number of tapes.
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