/* 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 .
*/
#include
using namespace Gudhi;
using namespace Gudhi::Gudhi_stat;
#include
int main( int argc , char** argv )
{
//create two simple vectors with birth--death pairs:
std::vector< std::pair< double , double > > persistence1;
std::vector< std::pair< double , double > > 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) );
//create two persistence landscapes based on persistence1 and persistence2:
Persistence_landscape l1( persistence1 );
Persistence_landscape l2( persistence2 );
//This is how to compute integral of landscapes:
std::cout << "Integral of the first landscape : " << l1.compute_integral_of_landscape() << endl;
std::cout << "Integral of the second landscape : " << l2.compute_integral_of_landscape() << endl;
//And here how to write landscapes to stream:
std::cout << "l1 : " << l1 << std::endl;
std::cout << "l2 : " << l2 << std::endl;
//Arythmetic operations on landscapes:
Persistence_landscape sum = l1+l2;
std::cout << "sum : " << sum << std::endl;
//here are the maxima of the functions:
std::cout << "Maximum of l1 : " << l1.compute_maximum() << std::endl;
std::cout << "Maximum of l2 : " << l2.compute_maximum() << std::endl;
//here are the norms of landscapes:
std::cout << "L^1 Norm of l1 : " << l1.compute_norm_of_landscape( 1. ) << std::endl;
std::cout << "L^1 Norm of l2 : " << l2.compute_norm_of_landscape( 1. ) << std::endl;
//here is the average of landscapes:
Persistence_landscape average;
std::vector< Persistence_landscape* > to_average;
to_average.push_back( &l1 );
to_average.push_back( &l2 );
average.compute_average( to_average );
std::cout << "average : " << average << std::endl;
//here is the distance of landscapes:
std::cout << "Distance : " << l1.distance( l2 ) << std::endl;
//here is the scalar product of landscapes:
std::cout << "Scalar product : " << l1.compute_scalar_product( l2 ) << std::endl;
//here is how to create a file which is suitable for vizualization via gnuplot:
average.plot( "average_landscape" );
return 0;
}
//Below I am storing the code used to generate tests for that functionality.
/*
if ( argc != 2 )
{
std::cerr << "To run this program, please provide a name of a file with persistence landscape \n";
//return 1;
}
Persistence_landscape p("../test/data/file_with_diagram");
Persistence_landscape q;
q.load_landscape_from_file( "file_with_landscape_from_file_with_diagram" );
if ( p != q )
{
cout << "Not equal \n";
}
double integral = p.compute_integral_of_landscape();
cout << "integral : " << integral < to_average;
to_average.push_back( &p );
to_average.push_back( &q );
Persistence_landscape av;
av.compute_average( to_average );
Persistence_landscape template_average;
template_average.load_landscape_from_file( "average" );
if ( template_average != av )
{
cerr << "We have a problem with average \n";
}
}
{
Persistence_landscape p( "../test/data/file_with_diagram" );
Persistence_landscape q( "../test/data/file_with_diagram_1" );
cout << "L^1 distance : " << p.distance( &q ) << endl;
cout << "L^2 distance : " << p.distance( &q , 2) << endl;
cout << "L^infty distance : " << p.distance( &q , -1 ) << endl;
}
{
Persistence_landscape p( "../test/data/file_with_diagram" );
Persistence_landscape q( "../test/data/file_with_diagram_1" );
cout << "Scalar product : " << p.compute_scalar_product( &q ) << endl;
}
*/