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
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
相关论文
共 50 条
  • [31] An Extended S-polynomial for Computing Grobner Bases
    He, Jinao
    Zhong, Xiuqin
    2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA), 2013, : 738 - 740
  • [32] ON THE COMPLEXITY OF COMPUTING GROBNER BASES IN CHARACTERISTIC-2
    ACCIARO, V
    INFORMATION PROCESSING LETTERS, 1994, 51 (06) : 321 - 323
  • [33] Computing strong regular characteristic pairs with Grobner bases
    Dong, Rina
    Wang, Dongming
    JOURNAL OF SYMBOLIC COMPUTATION, 2021, 104 : 312 - 327
  • [34] Role of Involutive Criteria in Computing Boolean Grobner Bases
    Gerdt, V. P.
    Zinin, M. V.
    PROGRAMMING AND COMPUTER SOFTWARE, 2009, 35 (02) : 90 - 97
  • [35] On the complexity of computing Grobner bases for weighted homogeneous systems
    Faugere, Jean-Charles
    El Din, Mohab Safey
    Verron, Thibaut
    JOURNAL OF SYMBOLIC COMPUTATION, 2016, 76 : 107 - 141
  • [36] Pivoting in Extended Rings for Computing Approximate Grobner Bases
    Faugere, Jean-Charles
    Liang, Ye
    MATHEMATICS IN COMPUTER SCIENCE, 2011, 5 (02) : 179 - 194
  • [37] Structures of precision losses in computing approximate Grobner bases
    Liang, Ye
    JOURNAL OF SYMBOLIC COMPUTATION, 2013, 53 : 81 - 95
  • [38] Certifying properties of an efficient functional program for computing Grobner bases
    Jorge, J. Santiago
    Gulias, Victor M.
    Freire, Jose L.
    JOURNAL OF SYMBOLIC COMPUTATION, 2009, 44 (05) : 571 - 582
  • [39] A survey on signature-based algorithms for computing Grobner bases
    Eder, Christian
    Faugere, Jean-Charles
    JOURNAL OF SYMBOLIC COMPUTATION, 2017, 80 : 719 - 784
  • [40] Compact representation of polynomials for algorithms for computing Grobner and involutive bases
    Yanovich, D. A.
    PROGRAMMING AND COMPUTER SOFTWARE, 2015, 41 (02) : 126 - 130