use mathjax for the matrix

This commit is contained in:
Sébastien Loriot 2015-04-20 18:39:41 +02:00
parent 27a3531bd6
commit f098d8508c
1 changed files with 5 additions and 5 deletions

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@ -219,11 +219,11 @@ vcm_convolve (ForwardIterator first,
/// `R` should be set to the minimum local feature size of the surface while `r` can be set to zero.
///
/// The Voronoi covariance matrix of each vertex is stored in a array `a` of length 6 and is as follow:
/// \verbatim
/// a[0] a[1] a[2]
/// a[1] a[3] a[4]
/// a[2] a[4] a[5]
/// \endverbatim
/// \f$ \begin{bmatrix}
/// a[0] & a[1] & a[2] \\
/// a[1] & a[3] & a[4] \\
/// a[2] & a[4] & a[5] \\
/// \end{bmatrix}\f$
///
/// @tparam ForwardIterator iterator over input points.
/// @tparam PointPMap is a model of `ReadablePropertyMap` with a value_type = `Kernel::Point_3`.