ADFunVector BoolVector BoolVectorVector cppad_ipopt_nlp cppad_ipopt_nlp eval_f eval_g eval_grad_f eval_h eval_jac_g fg_info_ finalize_solution g_l_ g_u_ get_bounds_info get_nlp_info get_starting_point I_ Index index_hes_fg_ index_jac_g_ IndexMap IndexStyleEnum intermediate_callback iRow_h_lag_ iRow_jac_g_ J_ jCol_h_lag_ jCol_jac_g_ K_ L_ m_ n_ nnz_h_lag_ nnz_jac_g_ Number operator= p_ pattern_hes_r_ pattern_jac_r_ q_ r_fun_ retape_ solution_ tape_ok_ x_i_ x_l_ x_u_ ~cppad_ipopt_nlp

bool cppad_ipopt_nlp::get_bounds_info ( Index  n, Number *  x_l, Number *  x_u, Index  m, Number *  g_l, Number *  g_u  ) [virtual] Return bound information about optimization problem. Parameters: [in] n is the dimension of the domain space for f(x) and g(x); i.e., it must be equal to n_. [out] x_l is a vector of size n. The input value of its elements does not matter. On output, it is a copy of the lower bound for ; i.e., x_l_. [out] x_u is a vector of size n. The input value of its elements does not matter. On output, it is a copy of the upper bound for ; i.e., x_u_. [in] m is the dimension of the domain space for f(x) and g(x). i.e., it must be equal to m_. [out] g_l is a vector of size m. The input value of its elements does not matter. On output, it is a copy of the lower bound for ; i.e., g_l_. [out] g_u is a vector of size m. The input value of its elements does not matter. On output, it is a copy of the upper bound for ; i.e, g_u_. Definition at line 301 of file cppad_ipopt_nlp.cpp.