cgal/Packages/Partition_2/include/CGAL/partition_2.h

119 lines
4.1 KiB
C++

// ============================================================================
//
// Copyright (c) 2000 The CGAL Consortium
//
// This software and related documentation is part of an INTERNAL release
// of the Computational Geometry Algorithms Library (CGAL). It is not
// intended for general use.
//
// ----------------------------------------------------------------------------
//
// release : $CGAL_Revision $
// release_date : $CGAL_Date $
//
// file : include/CGAL/partition_2.h
// package : $CGAL_Package: Partition_2 $
// maintainer : Susan Hert <hert@mpi-sb.mpg.de>
// chapter : Planar Polygon Partitioning
//
// revision : $Revision$
// revision_date : $Date$
//
// author(s) : Susan Hert <hert@mpi-sb.mpg.de>
//
// coordinator : MPI (Susan Hert <hert@mpi-sb.mpg.de>)
//
// implementation: Polygon partitioning functions
// ============================================================================
#ifndef CGAL_PARTITION_H
#define CGAL_PARTITION_H
#include <CGAL/partition_greene_approx_convex_2.h>
#include <CGAL/partition_optimal_convex_2.h>
#include <CGAL/partition_approx_convex_2.h>
#include <CGAL/partition_y_monotone_2.h>
namespace CGAL {
template <class InputIterator, class OutputIterator, class Traits>
inline
OutputIterator greene_approx_convex_partition_2(InputIterator first,
InputIterator beyond,
OutputIterator result,
const Traits& traits)
{
return partition_greene_approx_convex_2(first, beyond, result, traits);
}
template <class InputIterator, class OutputIterator>
inline
OutputIterator greene_approx_convex_partition_2(InputIterator first,
InputIterator beyond,
OutputIterator result)
{
return partition_greene_approx_convex_2(first, beyond, result);
}
template <class InputIterator, class OutputIterator, class Traits>
inline
OutputIterator optimal_convex_partition_2(InputIterator first,
InputIterator beyond,
OutputIterator result,
const Traits& traits)
{
return partition_optimal_convex_2(first, beyond, result, traits);
}
template <class InputIterator, class OutputIterator>
inline
OutputIterator optimal_convex_partition_2(InputIterator first,
InputIterator beyond,
OutputIterator result)
{
return partition_optimal_convex_2(first, beyond, result);
}
template <class InputIterator, class OutputIterator, class Traits>
inline
OutputIterator approx_convex_partition_2(InputIterator first,
InputIterator beyond,
OutputIterator result,
const Traits& traits)
{
return partition_approx_convex_2(first, beyond, result, traits);
}
template <class InputIterator, class OutputIterator>
inline
OutputIterator approx_convex_partition_2(InputIterator first,
InputIterator beyond,
OutputIterator result)
{
return partition_approx_convex_2(first, beyond, result);
}
template <class InputIterator, class OutputIterator, class Traits>
inline
OutputIterator y_monotone_partition_2(InputIterator first,
InputIterator beyond,
OutputIterator result,
const Traits& traits)
{
return partition_y_monotone_2(first, beyond, result, traits);
}
template <class InputIterator, class OutputIterator>
inline
OutputIterator y_monotone_partition_2(InputIterator first,
InputIterator beyond,
OutputIterator result)
{
return partition_y_monotone_2(first, beyond, result);
}
}
#endif // CGAL_PARTITION_H