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fixed bib citations
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\section{Introduction}
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Snap Rounding (SR, for short) is a well known method for converting
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arbitrary-precision arrangements of segments into a fixed-precision
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representation \cite{gght-srlse-97, gm-rad-98, cgal:h-psifp-99}. In
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representation \cite{gght-srlse-97, gm-rad-98, h-psifp-99}. In
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the study of robust geometric computing, it can be classified
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as a finite precision approximation technique. Iterated Snap Rounding
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(ISR, for short) is a modification of SR in which each vertex is at least
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half-the-width-of-a-pixel away from any non-incident edge
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\cite{hp-isr-02}. This package supports both methods. Algorithmic
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details and experimental results are given in \cite{hp-isr-02}.
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\cite{cgal:hp-isr-02}. This package supports both methods. Algorithmic
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details and experimental results are given in \cite{cgal:hp-isr-02}.
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\begin{figure}
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\begin{ccTexOnly}
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@ -78,7 +78,7 @@ the results of SR and ISR on the same input.
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\section{Terms and Software Design}
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Our package supports both schemes, implementing the algorithm
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described in \cite{hp-isr-02}.
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described in \cite{cgal:hp-isr-02}.
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Although the paper only describes an algorithm for ISR,
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it is easy to derive an algorithm for SR, by performing only
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the first rounding level for each segment.
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@ -22,13 +22,13 @@
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Snap Rounding (SR, for short) is a well known method for converting
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arbitrary-precision arrangements of segments into a fixed-precision
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representation \cite{gght-srlse-97, gm-rad-98, cgal:h-psifp-99}. In
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representation \cite{gght-srlse-97, gm-rad-98, h-psifp-99}. In
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the study of robust geometric computing, it can be classified as a
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finite precision approximation technique. Iterated Snap Rounding (ISR,
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for short) is a modification of SR in which each vertex is at least
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half-the-width-of-a-pixel away from any non-incident edge
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\cite{hp-isr-02}. This package supports both methods. Algorithmic
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details and experimental results are given in \cite{hp-isr-02}.
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\cite{cgal:hp-isr-02}. This package supports both methods. Algorithmic
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details and experimental results are given in \cite{cgal:hp-isr-02}.
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Given a finite collection $\S$ of segments in the plane, the
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arrangement of $\S$ denoted $\A(\S)$ is the subdivision of the plane
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@ -50,7 +50,7 @@ pixel in the grid used for rounding. ISR is a modification of SR which
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makes a vertex and a non-incident edge well separated (the distance
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between each is at least half-the-width-of-a-pixel). However, the
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guaranteed quality of the approximation in ISR degrades. For more
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details on ISR see \cite{hp-isr-02}.
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details on ISR see \cite{cgal:hp-isr-02}.
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The traits used here must support arbitrary-precision number type as this is a
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basic requirement of SR.
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