diff options
Diffstat (limited to 'concept/Persistence_representations')
5 files changed, 0 insertions, 237 deletions
diff --git a/concept/Persistence_representations/Real_valued_topological_data.h b/concept/Persistence_representations/Real_valued_topological_data.h deleted file mode 100644 index 22ef6d72..00000000 --- a/concept/Persistence_representations/Real_valued_topological_data.h +++ /dev/null @@ -1,51 +0,0 @@ -/* 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) 2016 Inria - * - * 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 CONCEPT_REAL_VALUED_TOPOLOGICAL_DATA_H_ -#define CONCEPT_REAL_VALUED_TOPOLOGICAL_DATA_H_ - -namespace Gudhi { - -namespace Persistence_representations { - -/** \brief The concept Real_valued_topological_data describes the requirements - * for a type to implement a container that allows computations of its projections to R. - */ -class Real_valued_topological_data { - public: - /** -* Typically there are various ways data can be projected to R. This function gives us the number of functions for -* vectorization provided by a given class. - **/ - size_t number_of_projections_to_R(); - /** -* This is a function to compute the projection from this container to reals. The parameter of a function have to -* be between 0 and the value returned by number_of_projections_to_R(). -**/ - double project_to_R(size_t number_of_projection); -}; - -} // namespace Persistence_representations - -} // namespace Gudhi - -#endif // CONCEPT_REAL_VALUED_TOPOLOGICAL_DATA_H_ diff --git a/concept/Persistence_representations/Topological_data_with_averages.h b/concept/Persistence_representations/Topological_data_with_averages.h deleted file mode 100644 index aa64467f..00000000 --- a/concept/Persistence_representations/Topological_data_with_averages.h +++ /dev/null @@ -1,44 +0,0 @@ - -/* 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) 2016 Inria - * - * 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 CONCEPT_TOPOLOGICAL_DATA_WITH_AVERAGES_H_ -#define CONCEPT_TOPOLOGICAL_DATA_WITH_AVERAGES_H_ - -namespace Gudhi { - -namespace Persistence_representations { - -/** \brief The concept Topological_data_with_averages describes the requirements - * for a type to implement a container that allows computations of averages. - * Note that the average object after being computed is stored in *this. - */ -class Topological_data_with_averages { - public: - void compute_average(const std::vector<Topological_data_with_averages*>& to_average); -}; - -} // namespace Persistence_representations - -} // namespace Gudhi - -#endif // CONCEPT_TOPOLOGICAL_DATA_WITH_AVERAGES_H_ diff --git a/concept/Persistence_representations/Topological_data_with_distances.h b/concept/Persistence_representations/Topological_data_with_distances.h deleted file mode 100644 index c8eb2b34..00000000 --- a/concept/Persistence_representations/Topological_data_with_distances.h +++ /dev/null @@ -1,49 +0,0 @@ -/* 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) 2016 Inria - * - * 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 CONCEPT_TOPOLOGICAL_DATA_WITH_DISTANCES_H_ -#define CONCEPT_TOPOLOGICAL_DATA_WITH_DISTANCES_H_ - -namespace Gudhi { - -namespace Persistence_representations { - -/** \brief The concept Topological_data_with_distances describes the requirements - * for a type to implement a container that allows computations of distance to another contained of that type. - * \details - * The second parameter of the distance function allow to declare power of a distance. The exact meaning of that - * number will be different for different distances. A few examples are given below: - * In case of p-Wasserstein distance, the power is equal to p. power = std::limit<double>::max() for bottleneck - * distance. - * - * In case of L^p landscape distance, the power is equal to p. s - */ -class Topological_data_with_distances { - public: - double distance(const Topological_data_with_distances& second, double power = 1); -}; - -} // namespace Persistence_representations - -} // namespace Gudhi - -#endif // CONCEPT_TOPOLOGICAL_DATA_WITH_DISTANCES_H_ diff --git a/concept/Persistence_representations/Topological_data_with_scalar_product.h b/concept/Persistence_representations/Topological_data_with_scalar_product.h deleted file mode 100644 index 0f08b8c6..00000000 --- a/concept/Persistence_representations/Topological_data_with_scalar_product.h +++ /dev/null @@ -1,42 +0,0 @@ -/* 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) 2016 Inria - * - * 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 CONCEPT_TOPOLOGICAL_DATA_WITH_SCALAR_PRODUCT_H_ -#define CONCEPT_TOPOLOGICAL_DATA_WITH_SCALAR_PRODUCT_H_ - -namespace Gudhi { - -namespace Persistence_representations { - -/** \brief The concept Topological_data_with_scalar_product describes the requirements - * for a type to implement a container that allows computations of scalar products. - */ -class Topological_data_with_scalar_product { - public: - double compute_scalar_product(const Topological_data_with_scalar_product& second); -}; - -} // namespace Persistence_representations - -} // namespace Gudhi - -#endif // CONCEPT_TOPOLOGICAL_DATA_WITH_SCALAR_PRODUCT_H_ diff --git a/concept/Persistence_representations/Vectorized_topological_data.h b/concept/Persistence_representations/Vectorized_topological_data.h deleted file mode 100644 index 365105d6..00000000 --- a/concept/Persistence_representations/Vectorized_topological_data.h +++ /dev/null @@ -1,51 +0,0 @@ -/* 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) 2016 Inria - * - * 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 CONCEPT_VECTORIZED_TOPOLOGICAL_DATA_H_ -#define CONCEPT_VECTORIZED_TOPOLOGICAL_DATA_H_ - -namespace Gudhi { - -namespace Persistence_representations { - -/** \brief The concept Vectorized_topological_data describes the requirements - * for a type to implement a container that allows vectorization. - */ -class Vectorized_topological_data { - public: - /** - * There are various ways data can be vectorized. This function give us the number of functions for vectorization - *provided by a given class. - **/ - size_t number_of_vectorize_functions(); - /** - * This is a function to vectorize given container. The parameter of a function have to be between 0 and the value - *returned by number_of_vectorize_functions(). - **/ - std::vector<double> vectorize(int number_of_function); -}; - -} // namespace Persistence_representations - -} // namespace Gudhi - -#endif // CONCEPT_VECTORIZED_TOPOLOGICAL_DATA_H_ |