mirror of https://github.com/CGAL/cgal
remove warnings
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@ -31,9 +31,6 @@
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#include <CGAL/Orthogonal_k_neighbor_search.h>
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#include <CGAL/Orthogonal_k_neighbor_search.h>
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#include <CGAL/Fuzzy_sphere.h>
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#include <CGAL/Fuzzy_sphere.h>
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#include <Eigen/Dense>
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#include <Eigen/Eigenvalues>
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#include <iterator>
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#include <iterator>
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#include <vector>
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#include <vector>
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@ -219,11 +216,15 @@ vcm_convolve (ForwardIterator first,
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/// `R` should be set to the minimum local feature size of the surface while `r` can be set to zero.
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/// `R` should be set to the minimum local feature size of the surface while `r` can be set to zero.
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///
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///
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/// The Voronoi covariance matrix of each vertex is stored in a array `a` of length 6 and is as follow:
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/// The Voronoi covariance matrix of each vertex is stored in a array `a` of length 6 and is as follow:
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/// \f$ \begin{bmatrix}
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/*!
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/// a[0] & a[1] & a[2] \\
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<center>
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/// a[1] & a[3] & a[4] \\
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\f$ \begin{bmatrix}
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/// a[2] & a[4] & a[5] \\
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a[0] & a[1] & a[2] \\
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/// \end{bmatrix}\f$
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a[1] & a[3] & a[4] \\
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a[2] & a[4] & a[5] \\
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\end{bmatrix}\f$
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</center>
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*/
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///
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///
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/// @tparam ForwardIterator iterator over input points.
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/// @tparam ForwardIterator iterator over input points.
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/// @tparam PointPMap is a model of `ReadablePropertyMap` with a value_type = `Kernel::Point_3`.
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/// @tparam PointPMap is a model of `ReadablePropertyMap` with a value_type = `Kernel::Point_3`.
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@ -336,7 +337,6 @@ vcm_estimate_normals (ForwardIterator first, ///< iterator over the first input
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int i = 0;
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int i = 0;
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for (ForwardIterator it = first; it != beyond; ++it) {
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for (ForwardIterator it = first; it != beyond; ++it) {
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Eigen::Vector3f enormal;
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Eigen::Vector3f enormal;
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Eigen::Vector3f dir;
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internal::extract_greater_eigenvector(cov[i], enormal);
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internal::extract_greater_eigenvector(cov[i], enormal);
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typename Kernel::Vector_3 normal(enormal[0],
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typename Kernel::Vector_3 normal(enormal[0],
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