From 55c7181126aa7defce38c9b82872d14223d4c1dd Mon Sep 17 00:00:00 2001 From: Gard Spreemann Date: Tue, 7 Feb 2017 17:33:01 +0100 Subject: Initial import of upstream's 1.3.1. --- .../Random_bitmap_cubical_complex.cpp | 83 ++++++++++++++++++++++ 1 file changed, 83 insertions(+) create mode 100644 example/Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp (limited to 'example/Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp') diff --git a/example/Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp b/example/Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp new file mode 100644 index 00000000..16ad65a0 --- /dev/null +++ b/example/Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp @@ -0,0 +1,83 @@ +/* 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 + +// standard stuff +#include +#include +#include + +int main(int argc, char** argv) { + srand(time(0)); + + std::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." << std::endl; + + int p = 2; + double min_persistence = 0; + + if (argc < 3) { + std::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() / static_cast(RAND_MAX)); + } + + typedef Gudhi::cubical_complex::Bitmap_cubical_complex_base Bitmap_cubical_complex_base; + typedef Gudhi::cubical_complex::Bitmap_cubical_complex Bitmap_cubical_complex; + Bitmap_cubical_complex b(sizes, data); + + // Compute the persistence diagram of the complex + typedef Gudhi::persistent_cohomology::Field_Zp Field_Zp; + typedef Gudhi::persistent_cohomology::Persistent_cohomology Persistent_cohomology; + Persistent_cohomology pcoh(b); + pcoh.init_coefficients(p); // initializes the coefficient field for homology + pcoh.compute_persistent_cohomology(min_persistence); + + std::stringstream ss; + ss << "randomComplex_persistence"; + std::ofstream out(ss.str().c_str()); + pcoh.output_diagram(out); + out.close(); + + return 0; +} + -- cgit v1.2.3