二元超稀疏(lacary)多项式分解的复杂性

E. Kaltofen, P. Koiran
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引用次数: 45

摘要

我们提出了在输入大小的多项式时间内计算超稀疏(空白)二元多项式的线性因子和二次因子的算法。在超稀疏多项式中,术语度可以有数百位二进制数。我们的算法对二次因子是蒙特卡罗随机化的,对线性因子是确定性的。我们的方法依赖于H. W. Lenstra, Jr.在有理数上计算单变量超稀疏多项式因子的结果。此外,我们证明了在任意特征的大有限域上确定超稀疏二元多项式的不可约性的问题是通过随机化约的co-NP-hard问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the complexity of factoring bivariate supersparse (Lacunary) polynomials
We present algorithms that compute the linear and quadratic factors of supersparse (lacunary) bivariate polynomials over the rational numbers in polynomial-time in the input size. In supersparse polynomials, the term degrees can have hundreds of digits as binary numbers. Our algorithms are Monte Carlo randomized for quadratic factors and deterministic for linear factors. Our approach relies on the results by H. W. Lenstra, Jr., on computing factors of univariate supersparse polynomials over the rational numbers. Furthermore, we show that the problem of determining the irreducibility of a supersparse bivariate polynomial over a large finite field of any characteristic is co-NP-hard via randomized reductions.
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