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Towards More Accurate Separation Bounds of Empirical Polynomials II

  • Kosaku Nagasaka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3718)

Abstract

We study the problem of bounding a polynomial which is absolutely irreducible, away from polynomials which are not absolutely irreducible. These separation bounds are useful for testing whether an empirical polynomial is absolutely irreducible or not, for the given tolerance or error bound of its coefficients. In the former paper, we studied some improvements on Kaltofen and May’s method which finds applicable separation bounds using an absolute irreducibility criterion due to Ruppert. In this paper, we study the similar improvements on the method using the criterion due to Gao and Rodrigues for sparse polynomials satisfying Newton polytope conditions, by which we are able to find more accurate separation bounds, for such bivariate polynomials. We also discuss a concept of separation bound continuations for both dense and sparse polynomials.

Keywords

Frobenius Norm Block Matrice Separation Bound Index Pair Bivariate Polynomial 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Kosaku Nagasaka
    • 1
  1. 1.Faculty of Human DevelopmentKobe UniversityJapan

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