fixed bib citations

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Efi Fogel 2004-03-27 01:00:24 +00:00
parent b67c2cdd8c
commit 499c3d549c
2 changed files with 8 additions and 8 deletions

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@ -23,13 +23,13 @@
\section{Introduction}
Snap Rounding (SR, for short) is a well known method for converting
arbitrary-precision arrangements of segments into a fixed-precision
representation \cite{gght-srlse-97, gm-rad-98, cgal:h-psifp-99}. In
representation \cite{gght-srlse-97, gm-rad-98, h-psifp-99}. In
the study of robust geometric computing, it can be classified
as a finite precision approximation technique. Iterated Snap Rounding
(ISR, for short) is a modification of SR in which each vertex is at least
half-the-width-of-a-pixel away from any non-incident edge
\cite{hp-isr-02}. This package supports both methods. Algorithmic
details and experimental results are given in \cite{hp-isr-02}.
\cite{cgal:hp-isr-02}. This package supports both methods. Algorithmic
details and experimental results are given in \cite{cgal:hp-isr-02}.
\begin{figure}
\begin{ccTexOnly}
@ -78,7 +78,7 @@ the results of SR and ISR on the same input.
\section{Terms and Software Design}
Our package supports both schemes, implementing the algorithm
described in \cite{hp-isr-02}.
described in \cite{cgal:hp-isr-02}.
Although the paper only describes an algorithm for ISR,
it is easy to derive an algorithm for SR, by performing only
the first rounding level for each segment.

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