#include <SmagNLP.hpp>
Public Member Functions | |
SMAG_NLP (smagHandle_t prob) | |
Contructor. | |
virtual | ~SMAG_NLP () |
Default destructor. | |
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 | 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. | |
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 bool | get_scaling_parameters (Number &obj_scaling, bool &use_x_scaling, Index n, Number *x_scaling, bool &use_g_scaling, Index m, Number *g_scaling) |
virtual bool | get_variables_linearity (Index n, LinearityType *var_types) |
Method to return the variables linearity. | |
virtual bool | get_constraints_linearity (Index m, LinearityType *const_types) |
Method to return the constraint linearity. | |
virtual bool | eval_f (Index n, const Number *x, bool new_x, Number &obj_value) |
Method to return the objective value. | |
virtual bool | eval_grad_f (Index n, const Number *x, bool new_x, Number *grad_f) |
Method to return the gradient of the objective. | |
virtual bool | eval_g (Index n, const Number *x, bool new_x, Index m, Number *g) |
Method to return the constraint residuals. | |
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 jacobian (if "values" is not NULL). | |
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 values of the hessian of the lagrangian (if "values" is not NULL). | |
virtual bool | intermediate_callback (AlgorithmMode mode, Index iter, Number obj_value, Number inf_pr, Number inf_du, Number mu, Number d_norm, Number regularization_size, Number alpha_du, Number alpha_pr, Index ls_trials, const IpoptData *ip_data, IpoptCalculatedQuantities *ip_cq) |
Method called by the solver at each iteration. | |
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 *data, IpoptCalculatedQuantities *cq) |
This method is called when the algorithm is complete so the TNLP can store/write the solution. | |
Public Attributes | |
double | div_iter_tol |
double | scaled_conviol_tol |
double | unscaled_conviol_tol |
Private Member Functions | |
SMAG_NLP () | |
SMAG_NLP (const SMAG_NLP &) | |
SMAG_NLP & | operator= (const SMAG_NLP &) |
Private Attributes | |
smagHandle_t | prob |
double | clockStart |
double * | negLambda |
double | isMin |
double | timelimit |
int | domviollimit |
long int | domviolations |
Definition at line 30 of file SmagNLP.hpp.
SMAG_NLP::SMAG_NLP | ( | smagHandle_t | prob | ) |
Contructor.
prob | The SMAG handle for the problem. |
virtual SMAG_NLP::~SMAG_NLP | ( | ) | [virtual] |
Default destructor.
SMAG_NLP::SMAG_NLP | ( | ) | [private] |
SMAG_NLP::SMAG_NLP | ( | const SMAG_NLP & | ) | [private] |
virtual bool SMAG_NLP::get_nlp_info | ( | Index & | n, | |
Index & | m, | |||
Index & | nnz_jac_g, | |||
Index & | nnz_h_lag, | |||
IndexStyleEnum & | index_style | |||
) | [virtual] |
Method to return some info about the nlp.
virtual bool SMAG_NLP::get_bounds_info | ( | Index | n, | |
Number * | x_l, | |||
Number * | x_u, | |||
Index | m, | |||
Number * | g_l, | |||
Number * | g_u | |||
) | [virtual] |
Method to return the bounds for my problem.
virtual bool SMAG_NLP::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 | |||
) | [virtual] |
Method to return the starting point for the algorithm.
virtual bool SMAG_NLP::get_scaling_parameters | ( | Number & | obj_scaling, | |
bool & | use_x_scaling, | |||
Index | n, | |||
Number * | x_scaling, | |||
bool & | use_g_scaling, | |||
Index | m, | |||
Number * | g_scaling | |||
) | [virtual] |
virtual bool SMAG_NLP::get_variables_linearity | ( | Index | n, | |
LinearityType * | var_types | |||
) | [virtual] |
Method to return the variables linearity.
virtual bool SMAG_NLP::get_constraints_linearity | ( | Index | m, | |
LinearityType * | const_types | |||
) | [virtual] |
Method to return the constraint linearity.
virtual bool SMAG_NLP::eval_f | ( | Index | n, | |
const Number * | x, | |||
bool | new_x, | |||
Number & | obj_value | |||
) | [virtual] |
Method to return the objective value.
virtual bool SMAG_NLP::eval_grad_f | ( | Index | n, | |
const Number * | x, | |||
bool | new_x, | |||
Number * | grad_f | |||
) | [virtual] |
Method to return the gradient of the objective.
virtual bool SMAG_NLP::eval_g | ( | Index | n, | |
const Number * | x, | |||
bool | new_x, | |||
Index | m, | |||
Number * | g | |||
) | [virtual] |
Method to return the constraint residuals.
virtual bool SMAG_NLP::eval_jac_g | ( | Index | n, | |
const Number * | x, | |||
bool | new_x, | |||
Index | m, | |||
Index | nele_jac, | |||
Index * | iRow, | |||
Index * | jCol, | |||
Number * | values | |||
) | [virtual] |
Method to return: 1) The structure of the jacobian (if "values" is NULL) 2) The values of the jacobian (if "values" is not NULL).
virtual bool SMAG_NLP::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 | |||
) | [virtual] |
Method to return: 1) The structure of the hessian of the lagrangian (if "values" is NULL) 2) The values of the hessian of the lagrangian (if "values" is not NULL).
virtual bool SMAG_NLP::intermediate_callback | ( | AlgorithmMode | mode, | |
Index | iter, | |||
Number | obj_value, | |||
Number | inf_pr, | |||
Number | inf_du, | |||
Number | mu, | |||
Number | d_norm, | |||
Number | regularization_size, | |||
Number | alpha_du, | |||
Number | alpha_pr, | |||
Index | ls_trials, | |||
const IpoptData * | ip_data, | |||
IpoptCalculatedQuantities * | ip_cq | |||
) | [virtual] |
Method called by the solver at each iteration.
Checks the domain violation limit and time limit and stops the solver in case of limit exceedance.
virtual void SMAG_NLP::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 * | data, | |||
IpoptCalculatedQuantities * | cq | |||
) | [virtual] |
This method is called when the algorithm is complete so the TNLP can store/write the solution.
double SMAG_NLP::div_iter_tol |
Definition at line 104 of file SmagNLP.hpp.
double SMAG_NLP::scaled_conviol_tol |
Definition at line 105 of file SmagNLP.hpp.
Definition at line 106 of file SmagNLP.hpp.
smagHandle_t SMAG_NLP::prob [private] |
Definition at line 111 of file SmagNLP.hpp.
double SMAG_NLP::clockStart [private] |
Definition at line 112 of file SmagNLP.hpp.
double* SMAG_NLP::negLambda [private] |
Definition at line 113 of file SmagNLP.hpp.
double SMAG_NLP::isMin [private] |
Definition at line 114 of file SmagNLP.hpp.
double SMAG_NLP::timelimit [private] |
Definition at line 115 of file SmagNLP.hpp.
int SMAG_NLP::domviollimit [private] |
Definition at line 116 of file SmagNLP.hpp.
long int SMAG_NLP::domviolations [private] |
Definition at line 117 of file SmagNLP.hpp.