cgal/Packages/Triangulation_2/examples/Triangulation_2
Mariette Yvinec 6d30e327e3 - added copy and swap to Constrained_triangulation_plus_2
- fixed Constrained_triangulation_plus_2 with Exact_intersections_tag
- fixed examples and demo of Constrained_triangulation_plus_2
2002-03-25 09:18:18 +00:00
..
data
Makefile added doc for Constrained_triangulation_plus_2 2002-02-05 14:23:28 +00:00
Makefilevc
README added demo and examples for Constrained_triangulation_plus_2 2002-02-08 17:16:30 +00:00
cgal_test - added copy and swap to Constrained_triangulation_plus_2 2002-03-25 09:18:18 +00:00
colored_face.C change type Face_iterator to Finite_faces_iterator 2002-03-04 13:33:34 +00:00
constrained.C added #include <cassert> in demo and example of constrained triangulation 2002-03-19 09:33:59 +00:00
constrained_plus.C - added copy and swap to Constrained_triangulation_plus_2 2002-03-25 09:18:18 +00:00
points.C
points.cmd
points.h
regular.C
terrain.C
triangulation_prog1.C
voronoi.C

README

To compule and run all these examples type :
./cgal_test
To compute and run only some of them type
./cgal_test name-of_wanted_example

triangulation_prog1:
The following program creates a triangulation of 2D points using the
kernel model class CGAL::Cartesian<double> as geometric traits and the
default instanciation of the triangulation data structure template
parameter.
 The input points are read from a file and inserted in the
triangulation.  Finally points on the convex hull are written to {\tt
cout}.


colored_face
Illustrates how the user can derive its own base face from the default
one to add e. g. a color.

voronoi:
Builds a Delaunay triangulation from input points in a file
and takes the dual Voronoi diagram

terrain
Build a terrain using a Delaunay triangulation with the traits class for 
terrains.

regular
Build a regular triangulation

constrained
input constraining edges from a file and build the Delaunay
constrained triangulation that conforms to these constraining edges.

constrained_plus
Intersecting constraints are entered in a triangulation.
The number of resulting subconstraints is output;

points:
Illustrates how to input user defined points and a user provided traits
class in a Triangulation