CGAL 4.6 - Spatial Sorting
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Functions | |
template<class RandomAccessIterator , class Traits , class PolicyTag > | |
void | CGAL::hilbert_sort (RandomAccessIterator begin, RandomAccessIterator end, const Traits &traits=Default_traits, PolicyTag policy=Default_policy) |
The function hilbert_sort() sorts an iterator range of points along a Hilbert curve. More... | |
template<class RandomAccessIterator , class Traits , class PolicyTag > | |
void | CGAL::spatial_sort (RandomAccessIterator begin, RandomAccessIterator end, const Traits &traits=Default_traits, PolicyTag policy=Default_policy, std::ptrdiff_t threshold_hilbert=default, std::ptrdiff_t threshold_multiscale=default, double ratio=default) |
The function spatial_sort() sorts an iterator range of points in a way that improves space locality. More... | |
void CGAL::hilbert_sort | ( | RandomAccessIterator | begin, |
RandomAccessIterator | end, | ||
const Traits & | traits = Default_traits , |
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PolicyTag | policy = Default_policy |
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) |
The function hilbert_sort()
sorts an iterator range of points along a Hilbert curve.
sorts the range [begin, end)
in place.
The default traits class Default_traits
is the kernel in which the type std::iterator_traits<RandomAccessIterator>::value_type
is defined. The default policy is Hilbert_sort_median_policy()
and the other option is Hilbert_sort_middle_policy()
.
Requirements
std::iterator_traits<RandomAccessIterator>::value_type
is convertible to Traits::Point_2
, Traits::Point_3
, or Traits::Point_d
. Traits
is a model for concept SpatialSortingTraits_2
, SpatialSortingTraits_3
, or SpatialSortingTraits_d
. Implementation
Creates an instance of Hilbert_sort_2<Traits, PolicyTag>
, Hilbert_sort_3<Traits, PolicyTag>
, or Hilbert_sort_d<Traits, PolicyTag>
and calls its operator()
.
#include <CGAL/hilbert_sort.h>
void CGAL::spatial_sort | ( | RandomAccessIterator | begin, |
RandomAccessIterator | end, | ||
const Traits & | traits = Default_traits , |
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PolicyTag | policy = Default_policy , |
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std::ptrdiff_t | threshold_hilbert = default , |
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std::ptrdiff_t | threshold_multiscale = default , |
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double | ratio = default |
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) |
The function spatial_sort()
sorts an iterator range of points in a way that improves space locality.
Two points close in the order will be close geometrically, and two points close geometrically will have a high probability of being close in the order.
sorts the range [begin, end)
in place.
The default traits class Default_traits
is the kernel in which the type std::iterator_traits<RandomAccessIterator>::value_type
is defined.
The default policy is Hilbert_sort_median_policy()
and the other option is Hilbert_sort_middle_policy()
.
The default values for the thresholds and the ratio depends on the dimension.
Requirements
std::iterator_traits<RandomAccessIterator>::value_type
is convertible to Traits::Point_2
, Traits::Point_3
, or Traits::Point_d
. Traits
is a model for concept SpatialSortingTraits_2
, SpatialSortingTraits_3
, or SpatialSortingTraits_d
. Implementation
Creates an instance of Multiscale_sort<Hilbert_sort>
where Hilbert_sort
is an Hilbert sorting object, and calls its operator()
.
The threshold_hilbert
is the minimal size of a point set to be subdivided recursively during Hilbert sorting, otherwise random order is used. The threshold_multiscale
value is the minimal size for a sample to call Hilbert sort, otherwise random order is used. The ratio
value is used to split the original set in two subsets, spatial sort is applied on the first subset of size ratio
times the original size of the set, Hilbert sort is applied on the second subset.
#include <CGAL/spatial_sort.h>