/* This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT. * See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details. * Author(s): Pawel Dlotko * * Copyright (C) 2016 Inria * * Modification(s): * - YYYY/MM Author: Description of the modification */ #include #include #include #include #include using Euclidean_distance = Gudhi::Euclidean_distance; using Vector_distances_in_diagram = Gudhi::Persistence_representations::Vector_distances_in_diagram; int main(int argc, char** argv) { std::cout << "This program computes scalar product of persistence vectors stored in a file (the file needs to " << "be created beforehand). \n" << "The parameters of this programs are names of files with persistence vectors.\n"; if (argc < 3) { std::cout << "Wrong number of parameters, the program will now terminate \n"; return 1; } std::vector filenames; for (int i = 1; i < argc; ++i) { filenames.push_back(argv[i]); } std::vector vectors; vectors.reserve(filenames.size()); for (size_t file_no = 0; file_no != filenames.size(); ++file_no) { Vector_distances_in_diagram l; l.load_from_file(filenames[file_no]); vectors.push_back(l); } // and now we will compute the scalar product of landscapes. // first we prepare an array: std::vector > scalar_product(filenames.size()); for (size_t i = 0; i != filenames.size(); ++i) { std::vector v(filenames.size(), 0); scalar_product[i] = v; } // and now we can compute the scalar product: for (size_t i = 0; i != vectors.size(); ++i) { for (size_t j = i; j != vectors.size(); ++j) { scalar_product[i][j] = scalar_product[j][i] = vectors[i].compute_scalar_product(vectors[j]); } } // and now output the result to the screen and a file: std::ofstream out; out.open("scalar_product.vect"); for (size_t i = 0; i != scalar_product.size(); ++i) { for (size_t j = 0; j != scalar_product.size(); ++j) { std::cout << scalar_product[i][j] << " "; out << scalar_product[i][j] << " "; } std::cout << std::endl; out << std::endl; } out.close(); std::cout << "Distance can be found in 'scalar_product.vect' file\n"; return 0; }