/* * Fatrop - A fast trajectory optimization solver * Copyright (C) 2022 - 2024 Lander Vanroye, KU Leuven. All rights reserved. * * This file is part of Fatrop. * * Fatrop is free software: you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * Fatrop 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 Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public License * along with Fatrop. If not, see . */ #ifndef NLPINCLUDED #define NLPINCLUDED #include "fatrop/blasfeo_wrapper/LinearAlgebraBlasfeo.hpp" #include "fatrop/auxiliary/Common.hpp" namespace fatrop { struct NLPDims { fatrop_int nvars; fatrop_int neqs; fatrop_int nineqs; }; class FatropNLP { public: virtual fatrop_int eval_lag_hess( double obj_scale, const FatropVecBF &primal_vars, const FatropVecBF &slack_vars, const FatropVecBF &lam) = 0; virtual fatrop_int eval_constr_jac( const FatropVecBF &primal_vars, const FatropVecBF &slack_vars) = 0; virtual fatrop_int eval_constraint_viol( const FatropVecBF &primal_vars, const FatropVecBF &slack_vars, FatropVecBF &constraint_violation) = 0; virtual fatrop_int eval_obj_grad( double obj_scale, const FatropVecBF &primal_vars, const FatropVecBF &slack_vars, FatropVecBF &gradient_x, FatropVecBF &gradient_s) = 0; virtual fatrop_int eval_obj( double obj_scale, const FatropVecBF &primal_vars, const FatropVecBF &slack_vars, double &res) = 0; virtual fatrop_int eval_dual_inf( double obj_scale, const FatropVecBF &lam, const FatropVecBF &grad_x, const FatropVecBF &grad_s, FatropVecBF &du_inf_x, FatropVecBF& du_inf_s) = 0; virtual fatrop_int solve_pd_sys( const double inertia_correction_w, const double inertia_correction_c, const FatropVecBF &ux, const FatropVecBF &lam, const FatropVecBF &delta_s, const FatropVecBF &sigma_total, const FatropVecBF &gradb_total) = 0; virtual fatrop_int solve_soc_rhs( const FatropVecBF &ux, const FatropVecBF &lam, const FatropVecBF &delta_s, const FatropVecBF &cosntraint_violation) = 0; virtual NLPDims get_nlp_dims() const = 0; virtual fatrop_int compute_scalings( double &obj_scale, FatropVecBF &x_scales, FatropVecBF &lam_scales, const FatropVecBF &grad_curr_x, const FatropVecBF& grad_curr_s) = 0; virtual fatrop_int initialize_slacks(double mu0, FatropVecBF &s_curr) = 0; virtual fatrop_int initialize_dual( const FatropVecBF &grad_x, const FatropVecBF &grad_s, FatropVecBF &dlam, const FatropVecBF &zL, const FatropVecBF &zU) = 0; virtual fatrop_int get_bounds( FatropVecBF &lower, FatropVecBF &upper) const = 0; virtual fatrop_int get_initial_sol_guess( FatropVecBF &initial) const = 0; virtual void pre_solve(const FatropVecBF& x_init,const FatropVecBF& s_init){}; // virtual fatrop_int GetDefaultParams( // FatropOptions ¶ms) const = 0; virtual fatrop_int Callback(FatropVecBF& primal_vars){return 0;}; virtual void finalize(){}; virtual void reset(){}; virtual void update_mu(double mu){}; }; } // namespace fatrop #endif // NLPINCLUDED