mirror of https://github.com/CGAL/cgal
Make some \section \subsection
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@ -595,7 +595,7 @@ Cut view of a 3D mesh produced from a segmented liver image. Code from subsectio
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\subsection Mesh_3UsingVariableSizingField Using Variable Sizing %Field
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\subsection Mesh_3SizingFieldasanAnalyticalFunction Sizing %Field as an Analytical %Function
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\subsubsection Mesh_3SizingFieldasanAnalyticalFunction Sizing %Field as an Analytical %Function
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\anchor Mesh_3_subsubsection_examples_sphere_variable
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@ -608,7 +608,7 @@ The following example shows how to use an analytical function as sizing field.
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Cut view of a 3D mesh produced from an implicit sphere with non-constant sizing field. Code from subsection \ref Mesh_3_subsubsection_examples_sphere_variable generates this file.
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\cgalFigureEnd
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\subsection Mesh_3DifferentSizingFieldforDifferentSubdomains Different Sizing %Field for Different Subdomains
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\subsubsection Mesh_3DifferentSizingFieldforDifferentSubdomains Different Sizing %Field for Different Subdomains
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\anchor Mesh_3_subsubsection_examples_3d_image_variable
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@ -625,7 +625,7 @@ View of a 3D mesh produced from a 3D image with different size for different org
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\anchor Mesh_3_subsection_example_polyhedral_with_edges
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\subsection Mesh_33DPolyhedralDomainwithEdges 3D Polyhedral Domain with Edges
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\subsubsection Mesh_33DPolyhedralDomainwithEdges 3D Polyhedral Domain with Edges
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The following example shows how to generate a mesh from a polyhedral
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surface. The output mesh conforms to the sharp features of the input surface.
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@ -636,7 +636,7 @@ surface. The output mesh conforms to the sharp features of the input surface.
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View of a 3D mesh with sharp features. Code from subsection \ref Mesh_3_subsection_example_polyhedral_with_edges generates this mesh.
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\cgalFigureEnd
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\subsection Mesh_3ImplicitDomainWith1DFeatures Implicit Domain With 1D Features
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\subsubsection Mesh_3ImplicitDomainWith1DFeatures Implicit Domain With 1D Features
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The following example shows how to generate a mesh from an implicit
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domain. We add by hand the intersection of the spheres as a sharp feature.
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@ -658,7 +658,7 @@ two optimization steps are performed, a perturbation and a sliver exudation.
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The following examples show how to disable default optimization steps
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and how to tune the parameters of optimization steps.
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\subsection Mesh_3DisablingExudationandTuningPerturbation Disabling Exudation and Tuning Perturbation
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\subsubsection Mesh_3DisablingExudationandTuningPerturbation Disabling Exudation and Tuning Perturbation
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In this first example, we show how to disable the exudation step.
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The optimization phase after the refinement includes only
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@ -673,7 +673,7 @@ through a call to `perturb_mesh_3()` with tuned parameters.
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\cgalExample{Mesh_3/mesh_optimization_example.cpp}
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\subsection Mesh_3UsingLloydGlobalOptimization Using Lloyd Global Optimization
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\subsubsection Mesh_3UsingLloydGlobalOptimization Using Lloyd Global Optimization
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In this second example, we show how to call the Lloyd optimization on the
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mesh, followed by a call to exudation. We set a time bound of 30s for the Lloyd optimization.
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@ -699,7 +699,7 @@ shaped elements: we set the facet angle bound and the radius edge bound to their
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theoretical limit (resp. 30 degrees and 2). We also use the same uniform sizing field for facets
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and cells.
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\subsection Mesh_3ImplicitFunction Implicit %Function
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\subsubsection Mesh_3ImplicitFunction Implicit %Function
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We mesh an analytical sphere of radius 1.
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@ -790,7 +790,7 @@ vertices/second
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</CENTER>
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\subsection Mesh_3PolyhedralDomain Polyhedral Domain
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\subsubsection Mesh_3PolyhedralDomain Polyhedral Domain
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\cgalFigureBegin{figuremesh_3_benchmark_polyhedral,bench_polyhedral.jpg}
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View of polyhedral mesh generation result (size = 0.005).
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@ -887,7 +887,7 @@ vertices/second
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</CENTER>
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\subsection Mesh_33DImage 3D Image
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\subsubsection Mesh_33DImage 3D Image
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\cgalFigureBegin{figuremesh_3_benchmark_3d_image,bench_3d.jpg}
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View of 3d image mesh generation result (size = 4).
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@ -974,7 +974,7 @@ vertices/second
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\section Mesh_3DesignAndImpl Design and Implementation History
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\subsection Mesh_3TheoreticalFoundations Theoretical Foundations
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\subsubsection Mesh_3TheoreticalFoundations Theoretical Foundations
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The \cgal mesh generation package implements a meshing engine based
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on the method of Delaunay refinement introduced by Chew \cite c-gqmgc-93 and Ruppert \cite r-draq2d-95
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@ -999,7 +999,7 @@ and Tournois et al. \cite cgal:twad-iropitmg-09,
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while the exudation process is, the now famous, optimization by weighting described
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in Edelsbrunner et al. \cite cgal:cdeft-slive-00.
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\subsection Mesh_3ImplementationHistory Implementation History
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\subsubsection Mesh_3ImplementationHistory Implementation History
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Work on the package `Mesh_3` started during the PhD thesis of Laurent Rineau
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advised by Mariette Yvinec. A code prototype, together
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