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Diffstat (limited to 'src/Gudhi_stat/example/persistence_landscape.cpp')
| -rw-r--r-- | src/Gudhi_stat/example/persistence_landscape.cpp | 92 |
1 files changed, 92 insertions, 0 deletions
diff --git a/src/Gudhi_stat/example/persistence_landscape.cpp b/src/Gudhi_stat/example/persistence_landscape.cpp new file mode 100644 index 00000000..40fb7d32 --- /dev/null +++ b/src/Gudhi_stat/example/persistence_landscape.cpp @@ -0,0 +1,92 @@ +/* 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> + + +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() << std::endl; + std::cout << "Integral of the second landscape : " << l2.compute_integral_of_landscape() << std::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; + average.compute_average( {&l1,&l2} ); + 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; +} + |