• DocumentCode
    682380
  • Title

    An extended S-polynomial for computing Gröbner bases

  • Author

    Jinao He ; Xiuqin Zhong

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    23-24 Dec. 2013
  • Firstpage
    738
  • Lastpage
    740
  • Abstract
    Gröbner bases algorithm is an important symbolic method for solving polynomial equations, and S-polynomial is the crucial notion of Buchberger´s algorithm. In order to improve the efficiency of Buchberger´s algorithm, many researchers focused on polynomial reduction. Unlike the past approach, extended S-polynomial is introduced in this paper. It is obvious that S-polynomial is a special case of extended S-polynomial and it can derive out Gröbner bases also. However, compared with S-polynomial, it is distinctive that some polynomials with more lower degrees may be produced by extended S-polynomial ahead, this is very helpful to enhance the efficiency of the next polynomial reductions.
  • Keywords
    mathematics computing; polynomials; symbol manipulation; Buchberger´s algorithm; Gröbner basis algorithm; extended S-polynomial; polynomial equations; polynomial reduction; symbolic method; Algorithm design and analysis; Automation; Generators; Instrumentation and measurement; Mathematical model; Polynomials; Buchberger algorithm; Gröbner bases; extended S-polynomial; polynomial reduction; pseudo division; symbolic computation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/IMSNA.2013.6743382
  • Filename
    6743382