mirror of https://github.com/CGAL/cgal
Fix dependencies and some backticks
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@ -139,8 +139,8 @@ Comparison between a cube generated by Marching Cubes (left) and Dual Contouring
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Each algorithm can be called by a single templated function, and the function signature is common to all algorithms:
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\code{.cpp}
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template <typename ConcurrencyTag = Sequential_tag, class Domain_, class PointRange, class PolygonRange>
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void marching_cubes(const Domain_& domain, const typename Domain_::FT isovalue, PointRange& points, PolygonRange& polygons);
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template <typename ConcurrencyTag = Sequential_tag, class Domain, class PointRange, class PolygonRange>
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void marching_cubes(const Domain& domain, const typename Domain::FT isovalue, PointRange& points, PolygonRange& polygons);
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\endcode
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The input is provided in the form of a `domain` (see \ref secmydomains).
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@ -152,7 +152,7 @@ The vertex positions are stored as `Point_3` in `points`. Each face in `polygons
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Depending on the algorithm, the indexed face set may store either a polygon soup (unorganized polygons with no relationship whatsoever, i.e., no connectivity between them) or a mesh with connectivity.
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The isosurfacing algorithms can run either sequentially on one CPU core or in parallel on multicore architectures with shared memory.
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The template parameter `ConcurrencyTag` is used to specify how the algorithm is executed: either Sequential_tag or Parallel_tag.
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The template parameter `ConcurrencyTag` is used to specify how the algorithm is executed: either `Sequential_tag` or `Parallel_tag`.
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To enable parallelism, CGAL must be linked with the Intel TBB library.
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When the parallel version is not available due to unsuccessful link with the TBB library, then the sequential version is utilized as a fallback.
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@ -6,6 +6,5 @@ Algebraic_foundations
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Circulator
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Stream_support
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AABB_tree
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CGAL_ImageIO
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Polygon_mesh_processing
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Mesh_3
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