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/*
* MIT No Attribution
*
* Copyright (C) 2010-2023 Joel Andersson, Joris Gillis, Moritz Diehl, KU Leuven.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy of this
* software and associated documentation files (the "Software"), to deal in the Software
* without restriction, including without limitation the rights to use, copy, modify,
* merge, publish, distribute, sublicense, and/or sell copies of the Software, and to
* permit persons to whom the Software is furnished to do so.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
* PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
* OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
* SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*
*/
#include <casadi/casadi.hpp>
/**
* This example demonstrates how NL-files, which can be generated
* by AMPl or Pyomo, can be imported in CasADi and solved using
* e.g. the interface to AMPL
\author Joel Andersson, Vyacheslav Kungurtsev
\date 2013
*/
using namespace casadi;
int main(int argc, char **argv){
// Get the problem
std::string problem = (argc==2) ? argv[1] : "../docs/examples/nl_files/hs107.nl";
// Parse an NL-file
NlpBuilder nl;
nl.import_nl(problem);
// Set options
Dict opts;
opts["expand"] = true;
// opts["max_iter"] = 10)
// opts["verbose"] = true;
// opts["linear_solver"] = "ma57";
opts["hessian_approximation"] = "exact";
// opts["derivative_test"] = "second-order";
// Specify QP solver
opts["qpsol"] = "nlpsol";
opts["qpsol_options.nlpsol"] = "ipopt";
opts["qpsol_options.error_on_fail"] = false;
opts["qpsol_options.nlpsol_options.ipopt.print_level"] = 0;
opts["qpsol_options.nlpsol_options.print_time"] = 0;
// Allocate NLP solver and buffers
Function solver = nlpsol("nlpsol", "sqpmethod", nl, opts);
std::map<std::string, DM> arg, res;
// Solve NLP
arg["lbx"] = nl.x_lb;
arg["ubx"] = nl.x_ub;
arg["lbg"] = nl.g_lb;
arg["ubg"] = nl.g_ub;
arg["x0"] = nl.x_init;
res = solver(arg);
return 0;
}
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