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Abstract:
Solving univariate polynomials and multivariate polynomial systems is critical in geometric computing with curved objects. Moreover, the real roots need to be computed in a certified way in order to avoid possible inconsistency in geometric algorithms. We present a \cgal-based univariate algebraic kernel, which follows the \cgal specifications for univariate kernels. It provides certified real-root isolation of univariate polynomials with integer coefficients (based on the library \rs) and standard functionalities such as basic arithmetic operations, gcd and square-free factorization. We compare our implementation with that of other univariate algebraic kernels that follow the same \cgal specifications. In particular, we compare it to the one developed at MPII. We also apply this kernel to the computation of arrangements of univariate polynomial functions.
BibTeX:
@InProceedings{lpt-eurocg-2008, author = {Sylvain Lazard and Luis Pe\~naranda and Elias~P. Tsigaridas}, title = {{A CGAL-based univariate algebraic kernel and applications to arrangements}}, booktitle = {24th European Workshop on Computational Geometry (EuroCG)}, pages = {91--94}, year = 2008, month = {Mar 18--20}, address = {Nancy, France}, abstract = "Solving univariate polynomials and multivariate polynomial systems is critical in geometric computing with curved objects. Moreover, the real roots need to be computed in a certified way in order to avoid possible inconsistency in geometric algorithms. We present a \cgal-based univariate algebraic kernel, which follows the \cgal~specifications for univariate kernels. It provides certified real-root isolation of univariate polynomials with integer coefficients (based on the library \rs) and standard functionalities such as basic arithmetic operations, gcd and square-free factorization. We compare our implementation with that of other univariate algebraic kernels that follow the same \cgal~specifications. In particular, we compare it to the one developed at MPII. We also apply this kernel to the computation of arrangements of univariate polynomial functions. ", }
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