Computing generic bivariate Grobner bases with MATHEMAGIX

被引:1
作者
Larrieu, Robin [1 ]
机构
[1] Ecole Polytech, Lab Informat, LIX, CNRS,UMR 7161, 1 Rue Honore dEstienne dOrves, F-91120 Palaiseau, France
来源
ACM COMMUNICATIONS IN COMPUTER ALGEBRA | 2019年 / 53卷 / 02期
关键词
All Open Access; Green;
D O I
10.1145/3371991.3371994
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Let A, B is an element of K[X, Y] be two bivariate polynomials over an effective field K, and let G be the reduced Grobner basis of the ideal I := hA, Bi generated by A and B with respect to the usual degree lexicographic order. Assuming A and B sufficiently generic, G admits a so-called concise representation that helps computing normal forms more efficiently [7]. Actually, given this concise representation, a polynomial P is an element of K[X, Y] can be reduced modulo G with quasi-optimal complexity (in terms of the size of the input A, B, P). Moreover, the concise representation can be computed from the input A, B with quasi-optimal complexity as well. The present paper reports on an efficient implementation for these two tasks in the free software MATHEMAGIX [10]. This implementation is included in MATHEMAGIX as a library called LARRIX.
引用
收藏
页码:41 / 44
页数:4
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