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Abstract:

We elaborate on a correspondence between the coefficients of a multivariate polynomial represented in the Bernstein basis and in a tensor-monomial basis, which leads to homography representations of polynomial functions, that use only integer arithmetic (in contrast to Bernstein basis) and are feasible over unbounded regions. Then, we study an algorithm to split this representation and we obtain a subdivision scheme for the domain of multivariate polynomial functions. This implies a new algorithm for real root isolation, MCF, that generalizes the Continued Fraction (CF) algorithm of univariate polynomials. A partial extension of Vincent's Theorem for multivariate polynomials is presented, which allows us to prove the termination of the algorithm. Bounding functions, projection and preconditioning are employed to speed up the scheme. The resulting isolation boxes have optimized rational coordinates, corresponding to the first terms of the continued fraction expansion of the real roots. Finally, we present new complexity bounds for a simplified version of the algorithm in the bit complexity model, and also bounds in the real RAM model for a family of subdivision algorithms in terms of the real condition number of the system. Examples computed with our C++ implementation illustrate the practical aspects of our method.

BibTeX:
@Article{mmt-tcs-2010,
  author =       {Angelos Mantzaflaris and Bernard Mourrain and Elias
                  P. Tsigaridas},
  title =        {On Continued Fraction Expansion of Real Roots of
                  Polynomial Systems, Complexity and Condition
                  Numbers},
  journal =      TCS,
  volume =       412,
  number =       22,
  year =         2011,
  pages =        {2312-2330},
  abstract =     "We elaborate on a correspondence between the
                  coefficients of a multivariate polynomial
                  represented in the Bernstein basis and in a
                  tensor-monomial basis, which leads to homography
                  representations of polynomial functions, that use
                  only integer arithmetic (in contrast to Bernstein
                  basis) and are feasible over unbounded regions.
                  Then, we study an algorithm to split this
                  representation and we obtain a subdivision scheme
                  for the domain of multivariate polynomial functions.
                  This implies a new algorithm for real root
                  isolation, MCF, that generalizes the Continued
                  Fraction (CF) algorithm of univariate polynomials.
                  A partial extension of \emph{Vincent's Theorem} for
                  multivariate polynomials is presented, which allows
                  us to prove the termination of the algorithm.
                  Bounding functions, projection and preconditioning
                  are employed to speed up the scheme. The resulting
                  isolation boxes have optimized rational coordinates,
                  corresponding to the first terms of the
                  \emph{continued fraction expansion} of the real
                  roots.  Finally, we present new complexity bounds
                  for a simplified version of the algorithm in the bit
                  complexity model, and also bounds in the real RAM
                  model for a family of subdivision algorithms in
                  terms of the real \emph{condition number} of the
                  system. Examples computed with our C++
                  implementation illustrate the practical aspects of
                  our method.",
  url =          "http://hal.inria.fr/inria-00530756",
}

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