Abstract:A b s t r a c tThis paper shows how to solve homogeneous polynomial systems that contain parameters. The Hilbert function is used to check that the specialization of a 'generic' GrSbner basis of the parametric homogeneous polynomial system (computed in a polynomial ring containing the parameters and the unknowns as variables) is a Gr6bner basis of the specialized homogeneous polynomial system. A preliminary implementation of these algorithms in PoSSoLib is also reported.
“…Dans ces deux stratégies on se ramèneà calculer un sous-ensemble constructible de P tel que la spécialisation des paramètres par des valeurs de cet ensemble conduità une base de Gröbner de l'idéal spécialisé [70,46,53,54,31,75]. Notons aussi les bases de Gröbner compréhensive [121,122] qui partagent l'espace des paramètres en des ensembles constructibles chacun avec une base de Gröbner paramétrique (pas de borne de complexité pour cette construction).…”
Section: -B-bases De Gröbner Paramétriquesunclassified
“…Dans ces deux stratégies on se ramèneà calculer un sous-ensemble constructible de P tel que la spécialisation des paramètres par des valeurs de cet ensemble conduità une base de Gröbner de l'idéal spécialisé [70,46,53,54,31,75]. Notons aussi les bases de Gröbner compréhensive [121,122] qui partagent l'espace des paramètres en des ensembles constructibles chacun avec une base de Gröbner paramétrique (pas de borne de complexité pour cette construction).…”
Section: -B-bases De Gröbner Paramétriquesunclassified
“…[SaSu03] 8.2 10 Y Y (0) S14. [GoTrZa00,De99] 9.6 2 Y N (1) ROMIN robot S15. [GoRe93] 18.2 17 Y N (2) S16.…”
Section: Benchmarksunclassified
“…For S17 [GoTrZa00], DISPGB gets bogged down after computing 35 terminal vertices in 1375 sec. It has been unable to finish the tree, and so neither rebuilding with the discriminantideal nor reducing the tree can have been achieved.…”
Section: Identification Cpu Time # Final Discriminantmentioning
In 1992, V. Weispfenning proved the existence of Comprehensive Gröbner Bases (CGB) and gave an algorithm to compute one. That algorithm was not very efficient and not canonical. Using his suggestions, A. Montes obtained in 2002 a more efficient algorithm (DISPGB) for Discussing Parametric Gröbner Bases. Inspired in its philosophy, V. Weispfenning defined, in 2002, how to obtain a Canonical Comprehensive Gröbner Basis (CCGB) for parametric polynomial ideals, and provided a constructive method.In this paper we use Weispfenning's CCGB ideas to make substantial improvements on Montes DISPGB algorithm. It now includes rewriting of the discussion tree using the Discriminant Ideal and provides a compact and effective discussion. We also describe the new algorithms in the DPGB library containing the improved DISPGB as well as new routines to check whether a given basis is a CGB or not, and to obtain a CGB. Examples and tests are also provided.
“…Such parametric polynomial systems come from real-life problems as geometric [12,25], optimization [41] and interpolation [35,36,15] ones, or physical problems [27,33,11], chemical reactions [10,11,15] and robots [16,6,35,36].…”
This paper presents a new algorithm for solving zero-dimensional parametric systems of polynomial homogeneous equations. This algorithm is based on the computation of what we call parametric U -resultants. The parameters space, i.e., the set of values of the parameters is decomposed into a finite number of constructible sets. The solutions of the input polynomial system are given uniformly in each constructible set by Polynomial Univariate Representations. The complexity of this algorithm is single exponential in the number n of the unknowns and the number r of the parameters.
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