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-rw-r--r--src/Witness_complex/doc/Witness_complex_doc.h4
-rw-r--r--src/Witness_complex/include/gudhi/Strong_witness_complex.h2
2 files changed, 3 insertions, 3 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
diff --git a/src/Witness_complex/include/gudhi/Strong_witness_complex.h b/src/Witness_complex/include/gudhi/Strong_witness_complex.h
index c18335d3..f079e910 100644
--- a/src/Witness_complex/include/gudhi/Strong_witness_complex.h
+++ b/src/Witness_complex/include/gudhi/Strong_witness_complex.h
@@ -34,7 +34,7 @@ namespace Gudhi {
namespace witness_complex {
-/* \private
+/*
* \class Strong_witness_complex
* \brief Constructs strong witness complex for a given table of nearest landmarks with respect to witnesses.
* \ingroup witness_complex