From 99d4649ada3b6314269bb22d2a8d95b4011a15ec Mon Sep 17 00:00:00 2001 From: glisse Date: Fri, 7 Apr 2017 08:02:39 +0000 Subject: Clarify doc about Squared_distance_d in Subsampling. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/farthest_distance@2315 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 5559e1c426569fba1dd4cd350a8697ab7e3260f1 --- src/Subsampling/include/gudhi/choose_n_farthest_points.h | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) (limited to 'src/Subsampling') diff --git a/src/Subsampling/include/gudhi/choose_n_farthest_points.h b/src/Subsampling/include/gudhi/choose_n_farthest_points.h index 1d2338cb..50d3cf80 100644 --- a/src/Subsampling/include/gudhi/choose_n_farthest_points.h +++ b/src/Subsampling/include/gudhi/choose_n_farthest_points.h @@ -53,9 +53,8 @@ enum : std::size_t { * The iteration starts with the landmark `starting point` or, if `starting point==random_starting_point`, with a random landmark. * \tparam Kernel must provide a type Kernel::Squared_distance_d which is a model of the * concept Kernel_d::Squared_distance_d - * concept. - * It must also contain a public member 'squared_distance_d_object' of this type. + * href="http://doc.cgal.org/latest/Kernel_d/classKernel__d_1_1Squared__distance__d.html">Kernel_d::Squared_distance_d (despite the name, taken from CGAL, this can be any kind of metric or proximity measure). + * It must also contain a public member `squared_distance_d_object()` that returns an object of this type. * \tparam Point_range Range whose value type is Kernel::Point_d. It must provide random-access * via `operator[]` and the points should be stored contiguously in memory. * \tparam PointOutputIterator Output iterator whose value type is Kernel::Point_d. -- cgit v1.2.3