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diff --git a/src/Persistence_representations/example/sliced_wasserstein.cpp b/src/Persistence_representations/example/sliced_wasserstein.cpp
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+/* This file is part of the Gudhi Library. The Gudhi library
+ * (Geometric Understanding in Higher Dimensions) is a generic C++
+ * library for computational topology.
+ *
+ * Author(s): Mathieu Carriere
+ *
+ * Copyright (C) 2018 INRIA (France)
+ *
+ * This program is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+#include <gudhi/Sliced_Wasserstein.h>
+
+#include <iostream>
+#include <vector>
+#include <utility>
+
+using Persistence_diagram = Gudhi::Persistence_representations::Persistence_diagram;
+using SW = Gudhi::Persistence_representations::Sliced_Wasserstein;
+
+int main(int argc, char** argv) {
+
+ Persistence_diagram persistence1, persistence2;
+
+ persistence1.push_back(std::make_pair(1, 2));
+ persistence1.push_back(std::make_pair(6, 8));
+ persistence1.push_back(std::make_pair(0, 4));
+ persistence1.push_back(std::make_pair(3, 8));
+
+ persistence2.push_back(std::make_pair(2, 9));
+ persistence2.push_back(std::make_pair(1, 6));
+ persistence2.push_back(std::make_pair(3, 5));
+ persistence2.push_back(std::make_pair(6, 10));
+
+
+ SW sw1(persistence1, 1, 100);
+ SW sw2(persistence2, 1, 100);
+
+ SW swex1(persistence1, 1, -1);
+ SW swex2(persistence2, 1, -1);
+
+ std::cout << "Approx SW kernel: " << sw1.compute_scalar_product(sw2) << std::endl;
+ std::cout << "Exact SW kernel: " << swex1.compute_scalar_product(swex2) << std::endl;
+ std::cout << "Distance induced by approx SW kernel: " << sw1.distance(sw2) << std::endl;
+ std::cout << "Distance induced by exact SW kernel: " << swex1.distance(swex2) << std::endl;
+
+ return 0;
+}