/* 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 Saclay (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 . */ //for persistence algorithm #include #include #include using namespace Gudhi; using namespace Gudhi::Cubical_complex; using namespace Gudhi::persistent_cohomology; //standard stuff #include #include #include using namespace std; int main( int argc , char** argv ) { srand( time(0) ); cout << "This program computes persistent homology, by using bitmap_cubical_complex class, of cubical complexes. \ The first parameter of the program is the dimension D of the bitmap. \ The next D parameters are number of top dimensional cubes in each dimension of the bitmap.\ The program will create random cubical complex of that sizes and compute persistent homology of it." << endl; int p = 2; double min_persistence = 0; if ( argc < 3 ) { cerr << "Wrong number of parameters, the program will now terminate\n"; return 1; } size_t dimensionOfBitmap = (size_t)atoi( argv[1] ); std::vector< unsigned > sizes; size_t multipliers = 1; for ( size_t dim = 0 ; dim != dimensionOfBitmap ; ++dim ) { unsigned sizeInThisDimension = (unsigned)atoi( argv[2+dim] ); sizes.push_back( sizeInThisDimension ); multipliers *= sizeInThisDimension; } std::vector< double > data; for ( size_t i = 0 ; i != multipliers ; ++i ) { data.push_back( rand()/(double)RAND_MAX ); } Bitmap_cubical_complex< Bitmap_cubical_complex_base > b( sizes , data ); // Compute the persistence diagram of the complex persistent_cohomology::Persistent_cohomology< Bitmap_cubical_complex< Bitmap_cubical_complex_base >, Field_Zp > pcoh(b); pcoh.init_coefficients( p ); //initilizes the coefficient field for homology pcoh.compute_persistent_cohomology( min_persistence ); stringstream ss; ss << "randomComplex_persistence"; std::ofstream out(ss.str().c_str()); pcoh.output_diagram(out); out.close(); return 0; }