Computer Science – Symbolic Computation
Scientific paper
2009-05-25
SNC, conference on Symbolic-Numeric Computation, Kyoto : Japan (2009)
Computer Science
Symbolic Computation
10 pages
Scientific paper
10.1145/1577190.1577207
We present a new algorithm for isolating the real roots of a system of multivariate polynomials, given in the monomial basis. It is inspired by existing subdivision methods in the Bernstein basis; it can be seen as generalization of the univariate continued fraction algorithm or alternatively as a fully analog of Bernstein subdivision in the monomial basis. The representation of the subdivided domains is done through homographies, which allows us to use only integer arithmetic and to treat efficiently unbounded regions. We use univariate bounding functions, projection and preconditionning techniques to reduce the domain of search. The resulting boxes have optimized rational coordinates, corresponding to the first terms of the continued fraction expansion of the real roots. An extension of Vincent's theorem to multivariate polynomials is proved and used for the termination of the algorithm. New complexity bounds are provided for a simplified version of the algorithm. Examples computed with a preliminary C++ implementation illustrate the approach.
Mantzaflaris Angelos
Mourrain Bernard
Tsigaridas Elias P. P.
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