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Paper   IPM / M / 13482
School of Mathematics
  Title:   An improvement of Rosenfeld-Grobner algorithm
  Author(s):  A. Hashemi (Joint with Z. Touraji)
  Status:   Published
  Journal: LNCS
  Vol.:  8592
  Year:  2014
  Pages:   466-471
  Supported by:  IPM
  Abstract:
In their paper Boulier et al. (2009) described the Rosenfeld-Grobner algorithm for computing a regular decomposition of a radical differential ideal generated by a set of polynomial differential equations, ordinary or with partial derivatives. In order to enhance the efficiency of this algorithm, they proposed their analog of Buchberger's criteria to avoid useless reductions to zero. For example, they showed that if p and q are two differential polynomials which are linear, homogeneous, in one differential indeterminate, with constant coefficients and with leaders θu and ϕu, respectively so that θ and ϕ are disjoint then the delta-polynomial of p and q reduces to zero w.r.t. the set {p,q}. In this paper we generalize this result showing that it remains true if p and q are products of differential polynomials which are linear, homogeneous, in the same differential indeterminate, with constant coefficients and θ and ϕ are disjoint where θu and ϕu are leaders of p and q, respectively. We have implemented the Rosenfeld-Grobner algorithm and our refined version on the same platform in Maple and compare them via a set of benchmarks.


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