CGAL 6.1.2 - dD Convex Hulls and Delaunay Triangulations: CGAL::Delaunay_d< R, Lifted_R > Class Template Reference

CGAL 6.1.2 - dD Convex Hulls and Delaunay Triangulations

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CGAL::Delaunay_d< R, Lifted_R > Class Template Reference
Reference Manual

`#include <CGAL/Delaunay_d.h>`

## Inherits from

CGAL::Convex_hull_d< Lifted_R >.

## Definition

template<typename R, typename Lifted_R>
class CGAL::Delaunay_d< R, Lifted_R >

Deprecated:
  This package is deprecated since the version 4.6 of CGAL. The package dD Triangulations should be used instead.

An instance `DT` of type `Delaunay_d< R, Lifted_R >` is the nearest and furthest site Delaunay triangulation of a set `S` of points in some `d`-dimensional space. We call `S` the underlying point set and `d` or `dim` the dimension of the underlying space. We use `dcur` to denote the affine dimension of `S`. The data type supports incremental construction of Delaunay triangulations and various kind of query operations (in particular, nearest and furthest neighbor queries and range queries with spheres and simplices).

A Delaunay triangulation is a simplicial complex. All simplices in the Delaunay triangulation have dimension `dcur`. In the nearest site Delaunay triangulation the circumsphere of any simplex in the triangulation contains no point of \( S\) in its interior. In the furthest site Delaunay triangulation the circumsphere of any simplex contains no point of \( S\) in its exterior. If the points in \( S\) are co-circular then any triangulation of \( S\) is a nearest as well as a furthest site Delaunay triangulation of \( S\). If the points in \( S\) are not co-circular then no simplex can be a simplex of both triangulations. Accordingly, we view `DT` as either one or two collection(s) of simplices. If the points in \( S\) are co-circular there is just one collection: the set of simplices of some triangulation. If the points in \( S\) are not co-circular there are two collections. One collection consists of the simplices of a nearest site Delaunay triangulation and the other collection consists of the simplices of a furthest site Delaunay triangulation.

For each simplex of maximal dimension there is a handle of type `Simplex_handle` and for each vertex of the triangulation there is a handle of type `Vertex_handle`. Each simplex has `1 + dcur` vertices indexed from `0` to `dcur`. For any simplex `s` and any index `i`, `DT.vertex_of(s,i)` returns the `i`-th vertex of `s`. There may or may not be a simplex `t` opposite to the vertex of `s` with index `i`. The function `DT.opposite_simplex(s,i)` returns `t` if it exists and returns `Simplex_handle()` otherwise. If `t` exists then `s` and `t` share `dcur` vertices, namely all but the vertex with index `i` of `s` and the vertex with index `DT.index_of_vertex_in_opposite_simplex(s,i)` of `t`. Assume that `t = DT.opposite_simplex(s,i)` exists and let `j = DT.index_of_vertex_in_opposite_simplex(s,i)`. Then `s = DT.opposite_simplex(t,j)` and `i = DT.index_of_vertex_in_opposite_simplex(t,j)`. In general, a vertex belongs to many simplices.

Any simplex of `DT` belongs either to the nearest or to the furthest site Delaunay triangulation or both. The test `DT.simplex_of_nearest(dt_simplex s)` returns true if `s` belongs to the nearest site triangulation and the test `DT.simplex_of_furthest(dt_simplex s)` returns true if `s` belongs to the furthest site triangulation.

Template Parameters

  R | must be a model of the concept `DelaunayTraits_d`.
  Lifted_R | must be a model of the concept `DelaunayLiftedTraits_d`.

Implementation

The data type is derived from `Convex_hull_d` via the lifting map. For a point `x` in `d`-dimensional space let `lift(x)` be its lifting to the unit paraboloid of revolution. There is an intimate relationship between the Delaunay triangulation of a point set \( S\) and the convex hull of `lift(S)`: The nearest site Delaunay triangulation is the projection of the lower hull and the furthest site Delaunay triangulation is the upper hull. For implementation details we refer the reader to the implementation report available from the CGAL server.

The space requirement is the same as for convex hulls. The time requirement for an insert is the time to insert the lifted point into the convex hull of the lifted points.

Example

The abstract data type `Delaunay_d` has a default instantiation by means of the `d`-dimensional geometric kernel.

#include <CGAL/Homogeneous_d.h>
#include <CGAL/leda_integer.h>
#include <CGAL/Delaunay_d.h>
typedef leda_integer RT;
typedef CGAL::Homogeneous_d<RT> Kernel;
typedef CGAL::Delaunay_d<Kernel> Delaunay_d;
typedef Delaunay_d::Point_d Point;
typedef Delaunay_d::Simplex_handle Simplex_handle;
typedef Delaunay_d::Vertex_handle Vertex_handle;
int main()
{
Delaunay_d T(2);
Vertex_handle v1 = T.insert(Point_d(2,11));
...
}
CGAL::Delaunay_d
Definition: Delaunay_d.h:141
CGAL::Delaunay_d::Vertex_handle
unspecified_type Vertex_handle
handles to vertices of the complex.
Definition: Delaunay_d.h:159
CGAL::Delaunay_d::Point_d
unspecified_type Point_d
the point type
Definition: Delaunay_d.h:165
CGAL::Delaunay_d::Simplex_handle
unspecified_type Simplex_handle
handles to the simplices of the complex.
Definition: Delaunay_d.h:153
CGAL::Homogeneous_d
unspecified_type
Kernel

Traits Requirements

`Delaunay_d< R, Lifted_R >` requires the following types from the kernel traits `Lifted_R`:

- `RT`
- `Point_d`
- `Vector_d`
- `Ray_d`
- `Hyperplane_d`

and uses the following function objects from the kernel traits:

- `Construct_hyperplane_d`
- `Construct_vector_d`
- `Vector_to_point_d` / `Point_to_vector_d`
- `Orientation_d`
- `Orthogonal_vector_d`
- `Oriented_side_d` / `Has_on_positive_side_d`
- `Affinely_independent_d`
- `Contained_in_simplex_d`
- `Contained_in_affine_hull_d`
- `Intersect_d`
- `Lift_to_paraboloid_d` / `Project_along_d_axis_d`
- `Component_accessor_d`

`Delaunay_d< R, Lifted_R >` requires the following types from the kernel traits `R`:

- `FT`
- `Point_d`
- `Sphere_d`
- `Construct_sphere_d`
- `Squared_distance_d`
- `Point_of_sphere_d`
- `Affinely_independent_d`
- `Contained_in_simplex_d`

## Related Functions
(Note that these are not member functions.)
template<typename R , typename Lifted_R >
void | d2_map (const Delaunay_d< R, Lifted_R > &D, GRAPH< typename Delaunay_d< R, Lifted_R >::Point_d, int > &DTG, typename Delaunay_d< R, Lifted_R >::Delaunay_voronoi_kind k=Delaunay_d< R, Lifted_R >::NEAREST)
| constructs a LEDA graph representation of the nearest (`kind = NEAREST` or the furthest (`kind = FURTHEST`) site Delaunay triangulation.
Related Functions inherited from CGAL::Convex_hull_d< Lifted_R >
void | convex_hull_d_to_polyhedron_3 (const Convex_hull_d< Lifted_R > &C, Polyhedron_3< T, HDS > &P)
void | d3_surface_map (const Convex_hull_d< Lifted_R > &C, GRAPH< typename Convex_hull_d< Lifted_R >::Point_d, int > &G)

## Types
enum | Delaunay_voronoi_kind { NEAREST , FURTHEST }
| interface flags More...
typedef unspecified_type | Simplex_handle
| handles to the simplices of the complex.
typedef unspecified_type | Vertex_handle
| handles to vertices of the complex.
typedef unspecified_type | Point_d
| the point type
typedef unspecified_type | Sphere_d
| the sphere type
typedef unspecified_type | Point_const_iterator
| the iterator for points.
typedef unspecified_type | Vertex_iterator
| the iterator for vertices.
typedef unspecified_type | Simplex_iterator
| the iterator for simplices.

## Creation
The data type `Delaunay_d` offers neither copy constructor nor assignment operator.
| Delaunay_d (int d, R k1=R(), Lifted_R k2=Lifted_R())
| creates an instance `DT` of type `Delaunay_d`.

## Operations
All operations below that take a point `x` as an argument have the common precondition that `x.dimension() == DT.dimension()`.
int | dimension ()
| returns the dimension of ambient space.
int | current_dimension ()
| returns the affine dimension of the current point set, i.e., `-1` is \( S\) is empty, `0` if \( S\) consists of a single point, `1` if all points of \( S\) lie on a common line, etc.
bool | is_simplex_of_nearest (Simplex_handle s)
| returns true if `s` is a simplex of the nearest site triangulation.
bool | is_simplex_of_furthest (Simplex_handle s)
| returns true if `s` is a simplex of the furthest site triangulation.
Vertex_handle | vertex_of_simplex (Simplex_handle s, int i)
| returns the vertex associated with the `i`-th node of `s`.
Point_d | associated_point (Vertex_handle v)
| returns the point associated with vertex `v`.
Point_d | point_of_simplex (Simplex_handle s, int i)
| returns the point associated with the `i`-th vertex of `s`.
Simplex_handle | opposite_simplex (Simplex_handle s, int i)
| returns the simplex opposite to the `i`-th vertex of `s` (`Simplex_handle()` if there is no such simplex).
int | index_of_vertex_in_opposite_simplex (Simplex_handle s, int i)
| returns the index of the vertex opposite to the `i`-th vertex of `s`.
Simplex_handle | simplex (Vertex_handle v)
| returns a simplex of the nearest site triangulation incident to `v`.
int | index (Vertex_handle v)
| returns the index of `v` in `DT.simplex(v)`.
bool | contains (Simplex_handle s, const Point_d &x)
| returns true if `x` is contained in the closure of simplex `s`.
bool | empty ()
| decides whether `DT` is empty.
void | clear ()
| re-initializes `DT` to the empty Delaunay triangulation.
Vertex_handle | insert (const Point_d &x)
| inserts point `x` into `DT` and returns the corresponding `Vertex_handle`.
Simplex_handle | locate (const Point_d &x)
| returns a simplex of the nearest site triangulation containing `x` in its closure (returns `Simplex_handle()` if `x` lies outside the convex hull of \( S\)).
Vertex_handle | lookup (const Point_d &x)
| if `DT` contains a vertex `v` with `associated_point(v) = x` the result is `v` otherwise the result is `Vertex_handle()`.
Vertex_handle | nearest_neighbor (const Point_d &x)
| computes a vertex `v` of `DT` that is closest to `x`, i.e., `dist(x,associated_point(v)) = min{dist(x, associated_point(u) | u` \(\in S\) `}`.
std::list< Vertex_handle > | range_search (const Sphere_d &C)
| returns the list of all vertices contained in the closure of sphere \( C\).
std::list< Vertex_handle > | range_search (const std::vector< Point_d > &A)
| returns the list of all vertices contained in the closure of the simplex whose corners are given by `A`.
std::list< Simplex_handle > | all_simplices (Delaunay_voronoi_kind k=NEAREST)
| returns a list of all simplices of either the nearest or the furthest site Delaunay triangulation of `S`.
std::list< Vertex_handle > | all_vertices (Delaunay_voronoi_kind k=NEAREST)
| returns a list of all vertices of either the nearest or the furthest site Delaunay triangulation of `S`.
std::list< Point_d > | all_points ()
| returns \( S\).
Point_const_iterator | points_begin ()
| returns the start iterator for points in `DT`.
Point_const_iterator | points_end ()
| returns the past the end iterator for points in `DT`.
Simplex_iterator | simplices_begin (Delaunay_voronoi_kind k=NEAREST)
| returns the start iterator for simplices of `DT`.
Simplex_iterator | simplices_end ()
| returns the past the end iterator for simplices of `DT`.

## Member Typedef Documentation

## ◆ Point_d

template<typename R , typename Lifted_R >

typedef unspecified_type CGAL::Delaunay_d< R, Lifted_R >::Point_d

the point type

## ◆ Sphere_d

template<typename R , typename Lifted_R >

typedef unspecified_type CGAL::Delaunay_d< R, Lifted_R >::Sphere_d

the sphere type

## Member Enumeration Documentation

## ◆ Delaunay_voronoi_kind

template<typename R , typename Lifted_R >

enum CGAL::Delaunay_d::Delaunay_voronoi_kind

interface flags

Enumerator
NEAREST |
FURTHEST |

## Constructor & Destructor Documentation

## ◆ Delaunay_d()

template<typename R , typename Lifted_R >

CGAL::Delaunay_d< R, Lifted_R >::Delaunay_d | ( | int | d,
|  | R | k1 = `R()`,
|  | Lifted_R | k2 = `Lifted_R()`
| ) |  |

creates an instance `DT` of type `Delaunay_d`.

The dimension of the underlying space is `d` and `S` is initialized to the empty point set. The traits class `R` specifies the models of all types and the implementations of all geometric primitives used by the Delaunay class. The traits class `Lifted_R` specifies the models of all types and the implementations of all geometric primitives used by the base class of `Delaunay_d< R, Lifted_R >`. The second template parameter defaults to the first: `Delaunay_d<R> = Delaunay_d<R, Lifted_R = R >`.

## Member Function Documentation

## ◆ index_of_vertex_in_opposite_simplex()

template<typename R , typename Lifted_R >

int CGAL::Delaunay_d< R, Lifted_R >::index_of_vertex_in_opposite_simplex | ( | Simplex_handle | s,
|  | int | i
| ) |  |

returns the index of the vertex opposite to the `i`-th vertex of `s`.

Precondition
  `0 <= i <= dcur`.

## ◆ insert()

template<typename R , typename Lifted_R >

Vertex_handle CGAL::Delaunay_d< R, Lifted_R >::insert | ( | const Point_d & | x | ) |

inserts point `x` into `DT` and returns the corresponding `Vertex_handle`.

More precisely, if there is already a vertex `v` in `DT` positioned at `x` (i.e., `associated_point(v)` is equal to `x`) then `associated_point(v)` is changed to `x` (i.e., `associated_point(v)` is made identical to `x`) and if there is no such vertex then a new vertex `v` with `associated_point(v) = x` is added to `DT`. In either case, `v` is returned.

## ◆ opposite_simplex()

template<typename R , typename Lifted_R >

Simplex_handle CGAL::Delaunay_d< R, Lifted_R >::opposite_simplex | ( | Simplex_handle | s,
|  | int | i
| ) |  |

returns the simplex opposite to the `i`-th vertex of `s` (`Simplex_handle()` if there is no such simplex).

Precondition
  `0 <= i <= dcur`.

## ◆ point_of_simplex()

template<typename R , typename Lifted_R >

Point_d CGAL::Delaunay_d< R, Lifted_R >::point_of_simplex | ( | Simplex_handle | s,
|  | int | i
| ) |  |

returns the point associated with the `i`-th vertex of `s`.

Precondition
  `0 <= i <= dcur`.

## ◆ range_search()

template<typename R , typename Lifted_R >

std::list< Vertex_handle > CGAL::Delaunay_d< R, Lifted_R >::range_search | ( | const std::vector< Point_d > & | A | ) |

returns the list of all vertices contained in the closure of the simplex whose corners are given by `A`.

Precondition
  `A` must consist of `d+1` affinely independent points in base space.

## ◆ vertex_of_simplex()

template<typename R , typename Lifted_R >

Vertex_handle CGAL::Delaunay_d< R, Lifted_R >::vertex_of_simplex | ( | Simplex_handle | s,
|  | int | i
| ) |  |

returns the vertex associated with the `i`-th node of `s`.

Precondition
  `0 <= i <= dcur`.

## Friends And Related Function Documentation

## ◆ d2_map()

template<typename R , typename Lifted_R >
template<typename R , typename Lifted_R >

void d2_map | ( | const Delaunay_d< R, Lifted_R > & | D,
|  | GRAPH< typename Delaunay_d< R, Lifted_R >::Point_d, int > & | DTG,
|  | typename Delaunay_d< R, Lifted_R >::Delaunay_voronoi_kind | k = `Delaunay_d< R, Lifted_R >::NEAREST`
| ) |  |
| related

constructs a LEDA graph representation of the nearest (`kind = NEAREST` or the furthest (`kind = FURTHEST`) site Delaunay triangulation.

Precondition
  `dim() == 2`.