CGAL 4.12 - Spatial Sorting
|
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::hilbert_sort_on_sphere (RandomAccessIterator begin, RandomAccessIterator end, const Traits &traits=Default_traits, PolicyTag policy=Default_policy, double sqr_radius=1.0, const Traits::Point_3 ¢er=Default_center) |
The function hilbert_sort_on_sphere() sorts an iterator range of points that are supposed to be close to a given sphere along a Hilbert curve on that same sphere. 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... | |
template<class RandomAccessIterator , class Traits , class PolicyTag > | |
void | CGAL::spatial_sort_on_sphere (RandomAccessIterator begin, RandomAccessIterator end, const Traits &traits=Default_traits, PolicyTag policy=Default_policy, double sqr_radius=1.0, const Traits::Point_3 ¢er=Default_center, std::ptrdiff_t threshold_hilbert=default, std::ptrdiff_t threshold_multiscale=default, double ratio=default) |
The function spatial_sort_on_sphere() sorts an iterator range of points in a way that improves space locality with respect to the intrinsic metric on the sphere given as input. More... | |
void CGAL::hilbert_sort | ( | RandomAccessIterator | begin, |
RandomAccessIterator | end, | ||
const Traits & | traits = Default_traits , |
||
PolicyTag | policy = Default_policy |
||
) |
#include <CGAL/hilbert_sort.h>
The function hilbert_sort()
sorts an iterator range of points along a Hilbert curve.
It 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()
.
void CGAL::hilbert_sort_on_sphere | ( | RandomAccessIterator | begin, |
RandomAccessIterator | end, | ||
const Traits & | traits = Default_traits , |
||
PolicyTag | policy = Default_policy , |
||
double | sqr_radius = 1.0 , |
||
const Traits::Point_3 & | center = Default_center |
||
) |
#include <CGAL/hilbert_sort_on_sphere.h>
The function hilbert_sort_on_sphere()
sorts an iterator range of points that are supposed to be close to a given sphere along a Hilbert curve on that same sphere.
If input points are not close to the input sphere, this function still works, but it might not be a good sorting function.
It 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 input sphere is given by a squared radius and a center, parameter sqr_radius
and parameter center
respectively. The default squared radius of the sphere is 1.0. The default center of the sphere is the origin (0,0,0).
Requirements
std::iterator_traits<RandomAccessIterator>::value_type
is convertible to Traits::Point_3
. Traits
is a model for concept SpatialSortingTraits_3
. Precondition
sqr_radius
greater than 0. Implementation
Creates an instance of Hilbert_sort_on_sphere<Traits, PolicyTag>
, and calls its operator()
.
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 |
||
) |
#include <CGAL/spatial_sort.h>
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.
It 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 depend 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.
void CGAL::spatial_sort_on_sphere | ( | RandomAccessIterator | begin, |
RandomAccessIterator | end, | ||
const Traits & | traits = Default_traits , |
||
PolicyTag | policy = Default_policy , |
||
double | sqr_radius = 1.0 , |
||
const Traits::Point_3 & | center = Default_center , |
||
std::ptrdiff_t | threshold_hilbert = default , |
||
std::ptrdiff_t | threshold_multiscale = default , |
||
double | ratio = default |
||
) |
#include <CGAL/spatial_sort_on_sphere.h>
The function spatial_sort_on_sphere()
sorts an iterator range of points in a way that improves space locality with respect to the intrinsic metric on the sphere given as input.
Two points close in the order will be close on the sphere, and two points close on the sphere will have a high probability of being close in the order. The input points are supposed to be close to the input sphere. If input points are not close to the input sphere, this function still works, but it might not be a good sorting function.
It 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 input sphere is given by a squared radius and a center, parameter sqr_radius
and parameter center
respectively. The default squared radius of the sphere is 1.0. The default center of the sphere is the origin (0,0,0).
Requirements
std::iterator_traits<RandomAccessIterator>::value_type
is convertible to Traits::Point_3
. Traits
is a model for concept SpatialSortingTraits_3
. Precondition
sqr_radius
greater than 0. Implementation
Creates an instance of Multiscale_sort<Hilbert_sort_on_sphere_3>
where Hilbert_sort_on_sphere_3
is an Hilbert sorting on the sphere 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 the Hilbert_sort_on_sphere_3
functor, 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_on_sphere_3
functor is applied on the second subset.