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Jane Tournois 2025-06-13 19:45:09 +02:00
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Constrained_triangulation_3/doc/Constrained_triangulation_3/Constrained_triangulation_3.txt
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@ -95,7 +95,7 @@ version of the original PLC that admits a constrained Delaunay triangulation. Th
achieved by adding Steiner vertices to the input edges and polygons. The constrained triangulation achieved by adding Steiner vertices to the input edges and polygons. The constrained triangulation
built on this refined PLC is known as a _conforming constrained Delaunay triangulation_ (CCDT for short). built on this refined PLC is known as a _conforming constrained Delaunay triangulation_ (CCDT for short).
The algorithm implemented in this package is based on the work of Hang Si The algorithm implemented in this package is based on the work of Hang Si
\cgalCite{si2005meshing}, \cgalCite{cgal:si2008cdt3}, \cgalCite{si2015tetgen}. \cgalCite{si2005meshing}, \cgalCite{cgal:si2008cdt3}, \cgalCite{si2015tetgen}.
Steiner vertices are inserted on the input edges and polygons of the PLC to Steiner vertices are inserted on the input edges and polygons of the PLC to
ensure it can be tetrahedralized. ensure it can be tetrahedralized.
@ -257,7 +257,6 @@ processed with
\link CGAL::Polygon_mesh_processing::autorefine_triangle_soup(PointRange&,TriangleRange&,const NamedParameters&) `CGAL::Polygon_mesh_processing::autorefine_triangle_soup()`\endlink \link CGAL::Polygon_mesh_processing::autorefine_triangle_soup(PointRange&,TriangleRange&,const NamedParameters&) `CGAL::Polygon_mesh_processing::autorefine_triangle_soup()`\endlink
to resolve the self-intersections. to resolve the self-intersections.
In case
\subsection CT_3_example_remesh Remeshing a Conforming Constrained Delaunay Triangulation \subsection CT_3_example_remesh Remeshing a Conforming Constrained Delaunay Triangulation