/* 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): Siargey Kachanovich * * Copyright (C) 2019 Inria * * Modification(s): * - YYYY/MM Author: Description of the modification */ #ifndef FUNCTIONS_FUNCTION_MOMENT_CURVE_IN_RD_H_ #define FUNCTIONS_FUNCTION_MOMENT_CURVE_IN_RD_H_ #include // for std::size_t #include #include namespace Gudhi { namespace coxeter_triangulation { /** * \class Function_moment_curve_in_Rd * \brief A class for the function that defines an implicit moment curve * in the d-dimensional Euclidean space. * * \ingroup coxeter_triangulation */ struct Function_moment_curve_in_Rd : public Function { /** \brief Value of the function at a specified point. * @param[in] p The input point. The dimension needs to coincide with the ambient dimension. */ virtual Eigen::VectorXd operator()(const Eigen::VectorXd& p) const override { Eigen::VectorXd result(k_); for (std::size_t i = 1; i < d_; ++i) result(i-1) = p(i) - p(0) * p(i-1); return result; } /** \brief Returns the domain (ambient) dimension.. */ virtual std::size_t amb_d() const override {return d_;}; /** \brief Returns the codomain dimension. */ virtual std::size_t cod_d() const override {return k_;}; /** \brief Returns a point on the moment curve. */ virtual Eigen::VectorXd seed() const override { Eigen::VectorXd result = Eigen::VectorXd::Zero(d_); return result; } /** * \brief Constructor of the function that defines an implicit moment curve * in the d-dimensional Euclidean space. * * @param[in] r Numerical parameter. * @param[in] d The ambient dimension. */ Function_moment_curve_in_Rd(double r, std::size_t d) : m_(1), k_(d-1), d_(d), r_(r) {} /** * \brief Constructor of the function that defines an implicit moment curve * in the d-dimensional Euclidean space. * * @param[in] r Numerical parameter. * @param[in] d The ambient dimension. * @param[in] offset The offset of the moment curve. */ Function_moment_curve_in_Rd(double r, std::size_t d, Eigen::VectorXd& offset) : m_(1), k_(d-1), d_(d), r_(r), off_(offset) {} private: std::size_t m_, k_, d_; double r_; Eigen::VectorXd off_; }; } // namespace coxeter_triangulation } // namespace Gudhi #endif