diff options
Diffstat (limited to 'src/Witness_complex/doc')
| -rw-r--r-- | src/Witness_complex/doc/Witness_complex_doc.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/Witness_complex/doc/Witness_complex_doc.h b/src/Witness_complex/doc/Witness_complex_doc.h index b51c3fe6..fb589a74 100644 --- a/src/Witness_complex/doc/Witness_complex_doc.h +++ b/src/Witness_complex/doc/Witness_complex_doc.h @@ -60,7 +60,7 @@ \section witnessexample1 Example 1: Constructing weak relaxed witness complex from an off file Let's start with a simple example, which reads an off point file and computes a weak witness complex. - In this example, instead of choosing landmarks randomly, one can also use the farthest point selection provided by Gudhi::subsampling::choose_n_farthest_points. + In this example, instead of choosing landmarks randomly, one can also use the farthest point selection provided by Gudhi::subsampling::choose_n_farthest_points(). ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.cpp} @@ -91,7 +91,7 @@ int main(int argc, char * const argv[]) { Gudhi::Points_off_reader<Point_d> off_reader(file_name); point_vector = Point_vector(off_reader.get_point_cloud()); - // Choose landmarks (one can also use Gudhi::subsampling::choose_n_farthest_points) + // Choose landmarks (one can also use Gudhi::subsampling::choose_n_farthest_points()) Gudhi::subsampling::pick_n_random_points(point_vector, nbL, std::back_inserter(landmarks)); // Compute witness complex |