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diff --git a/src/Persistence_representations/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp b/src/Persistence_representations/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp
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+++ b/src/Persistence_representations/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp
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+/* This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
+ * See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
+ * Author(s): Pawel Dlotko
+ *
+ * Copyright (C) 2016 Inria
+ *
+ * Modification(s):
+ * - YYYY/MM Author: Description of the modification
+ */
+
+#include <gudhi/Persistence_vectors.h>
+
+#include <iostream>
+#include <sstream>
+#include <limits>
+#include <vector>
+
+using Euclidean_distance = Gudhi::Euclidean_distance;
+using Vector_distances_in_diagram = Gudhi::Persistence_representations::Vector_distances_in_diagram<Euclidean_distance>;
+
+int main(int argc, char** argv) {
+ std::cout << "This program compute distance of persistence vectors stored in a file (the file needs to be created "
+ "beforehand). \n";
+ std::cout << "The first parameter of a program is an integer p. The program compute l^p distance of the vectors. For "
+ "l^infty distance choose p = -1. \n";
+ std::cout << "The remaining parameters of this programs are names of files with persistence vectors.\n";
+
+ if (argc < 3) {
+ std::cout << "Wrong number of parameters, the program will now terminate \n";
+ return 1;
+ }
+
+ int pp = atoi(argv[1]);
+ double p = std::numeric_limits<double>::max();
+ if (pp != -1) {
+ p = pp;
+ }
+
+ std::vector<const char*> filenames;
+ for (int i = 2; i < argc; ++i) {
+ filenames.push_back(argv[i]);
+ }
+ std::vector<Vector_distances_in_diagram> vectors;
+ vectors.reserve(filenames.size());
+ for (size_t file_no = 0; file_no != filenames.size(); ++file_no) {
+ Vector_distances_in_diagram l;
+ l.load_from_file(filenames[file_no]);
+ vectors.push_back(l);
+ }
+
+ // and now we will compute the scalar product of landscapes.
+
+ // first we prepare an array:
+ std::vector<std::vector<double> > distance(filenames.size());
+ for (size_t i = 0; i != filenames.size(); ++i) {
+ std::vector<double> v(filenames.size(), 0);
+ distance[i] = v;
+ }
+
+ // and now we can compute the distances:
+ for (size_t i = 0; i != vectors.size(); ++i) {
+ for (size_t j = i + 1; j != vectors.size(); ++j) {
+ distance[i][j] = distance[j][i] = vectors[i].distance(vectors[j], p);
+ }
+ }
+
+ // and now output the result to the screen and a file:
+ std::ofstream out;
+ out.open("distance.vect");
+ for (size_t i = 0; i != distance.size(); ++i) {
+ for (size_t j = 0; j != distance.size(); ++j) {
+ std::cout << distance[i][j] << " ";
+ out << distance[i][j] << " ";
+ }
+ std::cout << std::endl;
+ out << std::endl;
+ }
+ out.close();
+
+ std::cout << "Distance can be found in 'distance.vect' file\n";
+ return 0;
+}