稀疏多元多项式扩展Hensel构造的各种改进

Tateaki Sasaki, D. Inaba
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引用次数: 6

摘要

扩展Hensel构造(extended Hensel construction, EHC)是对广义Hensel构造(generalized Hensel construction, GHC)的直接扩展,它针对的是GHC分解的稀疏多元多项式。EHC由两个Hensel结构组成,我们称之为“最大”和“最小”Hensel因子的分离(见文本)。对于最小Hensel因子分离,最近,我们通过使用两个初始因子的Groebner基和基中元素的协同性大大增强了旧算法。本文首先改进了求最大Hensel因子的旧算法。然后,我们进一步增强了我们的算法中的Groebner基计算。后者是基于对格罗布纳基的理论分析。简单的实验表明,最小亨塞尔因子的改进部分比最近的改进部分要快得多。
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Various Enhancements for Extended Hensel Construction of Sparse Multivariate Polynomials
The extended Hensel construction (EHC) is a direct extension of the generalized Hensel construction (GHC), and it targets sparse multivariate polynomials for which the GHC breaks down. The EHC consists of two Hensel constructions which we call separation of "maximal" and "minimal" Hensel factors (see the text). As for the minimal Hensel factor separation, very recently, we enhanced the old algorithm largely by using Groebner basis of two initial factors and syzygies for the elements of the basis. In this paper, we first improve the old algorithm for maximal Hensel factors. We then enhance further the Groebner basis computation in our recent algorithm. The latter is based on a theoretical analysis of the Groebner bases. Simple experiments show that the improved part for the minimal Hensel factors is much faster than the recent one.
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