PRECISE: efficient multiprecision evaluation of algebraic roots and predicates for reliable geometric computation

SCG(2001)

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摘要
Many geometric problems like generalized Voronoi diagrams, medial axis computations and boundary evaluation involve computation and manipulation of non-linear algebraic primitives like curves and surfaces. The algorithms designed for these problems make decisions based on signs of geometric predicates or on the roots of polynomials characterizing the problem. The reliability of the algorithm depends on the accurate evaluation of these signs and roots. In this paper, we present a {\em naive precision-driven computational model} to perform these computations reliably and demonstrate its effectiveness on a certain class of problems like sign of determinants with rational entries, boundary evaluation and curve arrangements. We also present a novel algorithm to compute all the roots of a univariate polynomial to any desired accuracy. The computational model along with the underlying number representation, precision-driven arithmetic and all the algorithms are implemented as part of a stand-alone software library, PRECISE.
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关键词
geometric problem,efficient multiprecision evaluation,algebraic root,reliable geometric computation,geometric predicate,certain class,computational model,boundary evaluation,curve arrangement,em naive precision-driven computational,precision-driven arithmetic,novel algorithm,algebraic roots,accurate evaluation,floating point,linear algebra,convex hull,voronoi diagram,minkowski sum,computer model,error propagation,algebraic function,algorithm design,separating set,algebraic curve,medial axis
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