2001
DOI: 10.1016/s0362-546x(01)00166-3
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Investigation of a subdivision based algorithm for solving systems of polynomial equations

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Cited by 30 publications
(17 citation statements)
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“…Their application to arrangement computation have recently emerged such as in [10,30] where interval arithmetic is used to classify cells in the subdivision process. Subdivision methods are also very efficient for isolating the roots of polynomial equations, which appear in geometric problems [49,16,22,39]. They have also been extended for the approximation of one or two dimensional objects [31,2,34].…”
Section: Previous Workmentioning
confidence: 99%
“…Their application to arrangement computation have recently emerged such as in [10,30] where interval arithmetic is used to classify cells in the subdivision process. Subdivision methods are also very efficient for isolating the roots of polynomial equations, which appear in geometric problems [49,16,22,39]. They have also been extended for the approximation of one or two dimensional objects [31,2,34].…”
Section: Previous Workmentioning
confidence: 99%
“…One of the first methods was the Bézier clipping approach developed by Nishita et al [20] which took advantage of the convex hull property. The use of Descartes' rule of sign has led to many algorithms for real root isolation algorithms and for generating enclosures [3,8,14]. The interval projected polyhedron (IPP) algorithm [28] reformulates the problem of solving a system of polynomial equations into the problem of solving a set of univariate polynomial systems.…”
Section: Introductionmentioning
confidence: 99%
“…Their application to arrangement computation has recently emerged such as in [5,12] where interval arithmetic is used to classify cells in the subdivision process. Subdivision methods are also very efficient for isolating the roots of polynomial equations, which appear in geometric problems [18,6,10,16]. They have also been extended for the approximation of one or two dimensional objects [13,2,14].…”
Section: Introductionmentioning
confidence: 99%