Global projection operators for the Cylindrical Algebraic Decomposition algorithm

Emma-Neila Gonzalez-Campos
Laureano Gonzalez-Vega

Date: July 19th (Friday)
Time: 14:40-15:00
Abstract
The projection phase in the CAD algorithm proceeds by eliminating one variable on a given set of polynomials X via the computation of the principal subresultant coefficients of a well precised set of polynomials pairs on X (including their derivatives and their reductums). Since the size, at least in number, of this new set of polynomials is usually very big, any improvement in the projection phase would convey to dramatically speed up the efficiency of the CAD algorithm. The purpose of this talk is to present two approaches allowing, in some cases, to simplify the projection phase in the CAD algorithm:
-. The first one tries to avoid the consideration of all the different pairs of polynomials and their reductums by parametrizing the rank of a well precised matrix with polynomial entries.
-. The second one tries to perform an improved projection phase through the elimination of blocks of variables instead of the usual one by one variable elimination.
The theoretical tools to be used include Barnett's Theorem characterizing the degree of the gcd of a finite set of polynomials through the rank of a well-precised matrix and the parametrization of Hermite's Method for counting the number of real solutions of a polynomial system of equations.

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