Rename random_first_landmark to random_starting_point.

git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/farthest_distance@2250 636b058d-ea47-450e-bf9e-a15bfbe3eedb

Former-commit-id: 953403f208094ca4145d837f736bfc939efa9223

3 files changed, 5 insertions, 5 deletions

diff --git a/src/Subsampling/example/example_choose_n_farthest_points.cpp b/src/Subsampling/example/example_choose_n_farthest_points.cpp
index adbd2b80..fc9ea7a6 100644
--- a/src/Subsampling/example/example_choose_n_farthest_points.cpp
+++ b/src/Subsampling/example/example_choose_n_farthest_points.cpp
@@ -19,7 +19,7 @@ int main(void) {
 
   K k;
   std::vector<Point_d> results;
-  Gudhi::subsampling::choose_n_farthest_points(k, points, 100, Gudhi::subsampling::random_first_landmark, std::back_inserter(results));
+  Gudhi::subsampling::choose_n_farthest_points(k, points, 100, Gudhi::subsampling::random_starting_point, std::back_inserter(results));
   std::cout << "Before sparsification: " << points.size() << " points.\n";
   std::cout << "After  sparsification: " << results.size() << " points.\n";
 
diff --git a/src/Subsampling/example/example_custom_kernel.cpp b/src/Subsampling/example/example_custom_kernel.cpp
index 935ba885..2719ee90 100644
--- a/src/Subsampling/example/example_custom_kernel.cpp
+++ b/src/Subsampling/example/example_custom_kernel.cpp
@@ -54,7 +54,7 @@ int main(void) {
   std::vector<Point_d> points = {0, 1, 2, 3};
   std::vector<Point_d> results;
 
-  Gudhi::subsampling::choose_n_farthest_points(k, points, 2, Gudhi::subsampling::random_first_landmark, std::back_inserter(results));
+  Gudhi::subsampling::choose_n_farthest_points(k, points, 2, Gudhi::subsampling::random_starting_point, std::back_inserter(results));
   std::cout << "Before sparsification: " << points.size() << " points.\n";
   std::cout << "After  sparsification: " << results.size() << " points.\n";
   std::cout << "Result table: {" << results[0] << "," << results[1] << "}\n";
diff --git a/src/Subsampling/include/gudhi/choose_n_farthest_points.h b/src/Subsampling/include/gudhi/choose_n_farthest_points.h
index 02376c03..1d2338cb 100644
--- a/src/Subsampling/include/gudhi/choose_n_farthest_points.h
+++ b/src/Subsampling/include/gudhi/choose_n_farthest_points.h
@@ -43,14 +43,14 @@ enum : std::size_t {
 /**
  *  Argument for `choose_n_farthest_points` to indicate that the starting point should be picked randomly.
  */
-  random_first_landmark = std::size_t(-1)
+  random_starting_point = std::size_t(-1)
 };
 
 /** 
  *  \ingroup subsampling
  *  \brief Subsample by a greedy strategy of iteratively adding the farthest point from the
  *  current chosen point set to the subsampling. 
- *  The iteration starts with the landmark `starting point` or, if `starting point==random_first_landmark`, with a random landmark.
+ *  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 <a target="_blank"
  *   href="http://doc.cgal.org/latest/Kernel_d/classKernel__d_1_1Squared__distance__d.html">Kernel_d::Squared_distance_d</a>
@@ -90,7 +90,7 @@ void choose_n_farthest_points(Kernel const &k,
   if (final_size < 1)
     return;
 
-  if (starting_point == random_first_landmark) {
+  if (starting_point == random_starting_point) {
     // Choose randomly the first landmark
     std::random_device rd;
     std::mt19937 gen(rd());