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/* This file is part of the Gudhi hiLibrary. The Gudhi library
* (Geometric Understanding in Higher Dimensions) is a generic C++
* library for computational topology.
*
* Author(s): Pawel Dlotko
*
* Copyright (C) 2017 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/>.
*/
#ifndef PERSISTENCE_INTERVALS_WITH_DISTANCES_H_
#define PERSISTENCE_INTERVALS_WITH_DISTANCES_H_
#include <gudhi/Persistence_intervals.h>
#include <gudhi/Bottleneck.h>
namespace Gudhi
{
namespace Persistence_representations
{
class Persistence_intervals_with_distances : public Persistence_intervals
{
public:
using Persistence_intervals::Persistence_intervals;
/**
*Computations of distance from the current persistnce diagram to the persistence diagram given as a parameter of this function.
*The last but one parameter, power, is here in case we would like to compute p=th Wasserstein distance. At the moment, this method only implement Bottleneck distance,
* which is infinity Wasserstein distance. Therefore any power which is not the default std::numeric_limits< double >::max() will be ignored and an
* exception will be thrown.
* The last parameter, tolerance, it is an additiv error of the approimation, set by default to zero.
**/
double distance( const Persistence_intervals_with_distances& second , double power = std::numeric_limits< double >::max() , double tolerance = 0) const
{
if ( power >= std::numeric_limits< double >::max() )
{
return Gudhi::persistence_diagram::bottleneck_distance(this->intervals, second.intervals, tolerance);
}
else
{
std::cerr << "At the moment Gudhi do not support Wasserstein distances. We only support Bottleneck distance." << std::endl;
throw "At the moment Gudhi do not support Wasserstein distances. We only support Bottleneck distance.";
}
}
};
} // namespace Persistence_representations
} // namespace gudhi
#endif // PERSISTENCE_INTERVALS_WITH_DISTANCES_H_
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