Computing a structured Gröbner basis approximately

  • Authors:
  • Kosaku Nagasaka

  • Affiliations:
  • Graduate School of Human Development and Environment, Kobe University, Kobe, Japan

  • Venue:
  • Proceedings of the 36th international symposium on Symbolic and algebraic computation
  • Year:
  • 2011

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Abstract

There are several preliminary definitions for a Gröbner basis with inexact input since computing such a basis is one of the challenging problems in symbolic-numeric computations for several decades. A structured Gröbner basis is such a basis defined from the data mining point of view: how to extract a meaningful result from the given inexact input when the amount of noise is not small or we do not have enough information about the input. However, the known algorithm needs a suitable (unknown) information on terms required for a variant of the Buchberger algorithm. In this paper, we introduce an improved version of the algorithm that does not need any extra information in advance.