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diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp
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+++ b/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.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):       Pawel Dlotko
+ *
+ *    Copyright (C) 2015  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/Persistence_landscape.h>
+
+
+
+using namespace Gudhi;
+using namespace Gudhi::Persistence_representations;
+
+#include <iostream>
+#include <sstream>
+
+
+int main( int argc , char** argv )
+{
+	std::cout << "This program compute distance of persistence landscapes stored in a file (the file needs to be created beforehand). \n";	
+	std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the given landscapes. For L^infty distance choose p = -1. \n";
+	std::cout << "The remaining parameters of this programs are names of files with persistence landscapes.";
+	
+	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< Persistence_landscape > landscaspes;
+	landscaspes.reserve( filenames.size() );
+	for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no )
+	{
+		std::cout << "Loading persistence landscape from a file : " << filenames[file_no] << std::endl;
+		Persistence_landscape l;
+		l.load_landscape_from_file( filenames[file_no] );
+		landscaspes.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 != landscaspes.size() ; ++i )
+	{
+		for ( size_t j = i ; j != landscaspes.size() ; ++j )
+		{			
+			distance[i][j] = distance[j][i] = compute_distance_of_landscapes( landscaspes[i], landscaspes[j] , p ) ;
+			
+		}
+	}
+	
+	//and now output the result to the screen and a file:
+	std::ofstream out;
+	out.open( "distance" );
+	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();
+		
+	return 0;
+}
+
+
+
+
+
+
+