7 #ifndef __PARAMETRICTNLPEXAMPLE_HPP__
8 #define __PARAMETRICTNLPEXAMPLE_HPP__
15 class ParametricTNLP :
public TNLP
85 const IpoptData* ip_data,
86 IpoptCalculatedQuantities* ip_cq);
std::map< std::string, std::vector< Number > > NumericMetaDataMapType
Number * x
Input: Starting point Output: Optimal solution.
int Index
Type for all incides.
virtual bool get_nlp_info(Index &n, Index &m, Index &nnz_jac_g, Index &nnz_h_lag, IndexStyleEnum &index_style)
Method to return some info about the nlp.
virtual bool eval_h(Index n, const Number *x, bool new_x, Number obj_factor, Index m, const Number *lambda, bool new_lambda, Index nele_hess, Index *iRow, Index *jCol, Number *values)
Method to return: 1) The structure of the hessian of the lagrangian (if "values" is NULL) 2) The valu...
Number Number Index Number Number Index Index Index index_style
indexing style for iRow & jCol, 0 for C style, 1 for Fortran style
virtual bool eval_jac_g(Index n, const Number *x, bool new_x, Index m, Index nele_jac, Index *iRow, Index *jCol, Number *values)
Method to return: 1) The structure of the jacobian (if "values" is NULL) 2) The values of the jacobia...
Number Number Index m
Number of constraints.
virtual void finalize_metadata(Index n, const StringMetaDataMapType &var_string_md, const IntegerMetaDataMapType &var_integer_md, const NumericMetaDataMapType &var_numeric_md, Index m, const StringMetaDataMapType &con_string_md, const IntegerMetaDataMapType &con_integer_md, const NumericMetaDataMapType &con_numeric_md)
This method is called just before finalize solution.
Number Number * g
Values of constraint at final point (output only - ignored if set to NULL)
virtual bool eval_f(Index n, const Number *x, bool new_x, Number &obj_value)
Method to return the objective value.
ParametricTNLP()
default constructor
virtual bool get_var_con_metadata(Index n, StringMetaDataMapType &var_string_md, IntegerMetaDataMapType &var_integer_md, NumericMetaDataMapType &var_numeric_md, Index m, StringMetaDataMapType &con_string_md, IntegerMetaDataMapType &con_integer_md, NumericMetaDataMapType &con_numeric_md)
overload this method to return any meta data for the variables and the constraints ...
Number eta_2_perturbed_value_
SolverReturn
enum for the return from the optimize algorithm (obviously we need to add more)
virtual bool eval_grad_f(Index n, const Number *x, bool new_x, Number *grad_f)
Method to return the gradient of the objective.
Number Number Index Number Number Index nele_jac
Number of non-zero elements in constraint Jacobian.
virtual bool get_starting_point(Index n, bool init_x, Number *x, bool init_z, Number *z_L, Number *z_U, Index m, bool init_lambda, Number *lambda)
Method to return the starting point for the algorithm.
virtual void finalize_solution(SolverReturn status, Index n, const Number *x, const Number *z_L, const Number *z_U, Index m, const Number *g, const Number *lambda, Number obj_value, const IpoptData *ip_data, IpoptCalculatedQuantities *ip_cq)
This method is called when the algorithm is complete so the TNLP can store/write the solution...
std::map< std::string, std::vector< Index > > IntegerMetaDataMapType
ParametricTNLP & operator=(const ParametricTNLP &)
double Number
Type for all number.
Number Number Index Number Number Index Index nele_hess
Number of non-zero elements in Hessian of Lagrangian.
std::map< std::string, std::vector< std::string > > StringMetaDataMapType
IndexStyleEnum
overload this method to return the number of variables and constraints, and the number of non-zeros i...
virtual bool get_bounds_info(Index n, Number *x_l, Number *x_u, Index m, Number *g_l, Number *g_u)
Method to return the bounds for my problem.
Number eta_1_perturbed_value_
virtual bool eval_g(Index n, const Number *x, bool new_x, Index m, Number *g)
Method to return the constraint residuals.
virtual ~ParametricTNLP()
default destructor