Robust Proximity Queries: an Illustration of Degree-driven Algorithm Design  (Make Corrections)  (24 citations)
Giuseppe Liotta, Franco P. Preparata, Roberto Tamassia
Symposium on Computational Geometry

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Abstract: In the context of methodologies intended to confer robustness to geometric algorithms, we elaborate on the exact computation paradigm and formalize the notion of degree of a geometric algorithm, as a worst-case quantification of the precision (number of bits) to which arithmetic calculation have to be executed in order to guarantee topological correctness. We also propose a formalism for the expeditious evaluation of algorithmic degree. As an application of this paradigm and an illustration of... (Update)

Context of citations to this paper:   More

...However, reducing the degree of an algorithm may increase its time complexity in the Real RAM model. Following Liotta et al. [13], we consider the degree of the predicates as an additional measure of the complexity of problems and algorithms, and intend to elucidate...

...contributions can be summarized as follows. i) As an additional measure of eoeectiveness for a checker, we adopt the notion of degree [19,18,5], which takes into account the number of bits required by the checker to carry out error free computations. A good checker should have...

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BibTeX entry:   (Update)

G. Liotta, F. P. Preparata, and R. Tamassia. Robust proximity queries: An illustration of degree-driven algorithm design. SIAM J. Computing, to appear. http://www.cs.brown.edu/cgc/papers/lpt-rpqid-.ps.gz. http://citeseer.nj.nec.com/104793.html   More

@inproceedings{ liotta97robust,
    author = "Giuseppe Liotta and Franco P. Preparata and Roberto Tamassia",
    title = "Robust Proximity Queries: An Illustration of Degree-Driven Algorithm Design",
    booktitle = "Symposium on Computational Geometry",
    pages = "156-165",
    year = "1997",
    url = "citeseer.nj.nec.com/104793.html" }
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