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Ipopt::ParametricTNLP Class Reference

#include <parametricTNLP.hpp>

+ Inheritance diagram for Ipopt::ParametricTNLP:

Public Member Functions

 ParametricTNLP ()
 default constructor More...
 
virtual ~ParametricTNLP ()
 default destructor More...
 
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 More...
 
 ParametricTNLP ()
 default constructor More...
 
virtual ~ParametricTNLP ()
 default destructor More...
 
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 More...
 
Overloaded from TNLP
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. More...
 
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. More...
 
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. More...
 
virtual bool eval_f (Index n, const Number *x, bool new_x, Number &obj_value)
 Method to return the objective value. 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. More...
 
virtual bool eval_g (Index n, const Number *x, bool new_x, Index m, Number *g)
 Method to return the constraint residuals. More...
 
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) More...
 
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) More...
 
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. More...
 
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. More...
 
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. More...
 
virtual bool eval_f (Index n, const Number *x, bool new_x, Number &obj_value)
 Method to return the objective value. 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. More...
 
virtual bool eval_g (Index n, const Number *x, bool new_x, Index m, Number *g)
 Method to return the constraint residuals. More...
 
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) More...
 
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) More...
 
Solution Methods
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. More...
 
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. More...
 
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. More...
 
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. More...
 
- Public Member Functions inherited from Ipopt::TNLP
 DECLARE_STD_EXCEPTION (INVALID_TNLP)
 
 TNLP ()
 
virtual ~TNLP ()
 Default destructor. More...
 
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)
 Intermediate Callback method for the user. More...
 
virtual Index get_number_of_nonlinear_variables ()
 
virtual bool get_list_of_nonlinear_variables (Index num_nonlin_vars, Index *pos_nonlin_vars)
 
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)
 overload this method to return scaling parameters. More...
 
virtual bool get_variables_linearity (Index n, LinearityType *var_types)
 overload this method to return the variables linearity (TNLP::LINEAR or TNLP::NON_LINEAR). More...
 
virtual bool get_constraints_linearity (Index m, LinearityType *const_types)
 overload this method to return the constraint linearity. More...
 
virtual bool get_warm_start_iterate (IteratesVector &warm_start_iterate)
 overload this method to provide an Ipopt iterate (already in the form Ipopt requires it internally) for a warm start. More...
 
- Public Member Functions inherited from Ipopt::ReferencedObject
 ReferencedObject ()
 
virtual ~ReferencedObject ()
 
Index ReferenceCount () const
 
void AddRef (const Referencer *referencer) const
 
void ReleaseRef (const Referencer *referencer) const
 

Private Member Functions

Methods to block default compiler methods.

The compiler automatically generates the following three methods.

Since the default compiler implementation is generally not what you want (for all but the most simple classes), we usually put the declarations of these methods in the private section and never implement them. This prevents the compiler from implementing an incorrect "default" behavior without us knowing. (See Scott Meyers book, "Effective C++")

 ParametricTNLP (const ParametricTNLP &)
 
ParametricTNLPoperator= (const ParametricTNLP &)
 
 ParametricTNLP (const ParametricTNLP &)
 
ParametricTNLPoperator= (const ParametricTNLP &)
 

Private Attributes

Number nominal_eta1_
 
Number nominal_eta2_
 
Number eta_1_perturbed_value_
 
Number eta_2_perturbed_value_
 

Additional Inherited Members

- Public Types inherited from Ipopt::TNLP
enum  LinearityType { LINEAR, NON_LINEAR }
 Type of the constraints. More...
 
enum  IndexStyleEnum { C_STYLE =0, FORTRAN_STYLE =1 }
 overload this method to return the number of variables and constraints, and the number of non-zeros in the jacobian and the hessian. More...
 
typedef std::map< std::string,
std::vector< std::string > > 
StringMetaDataMapType
 
typedef std::map< std::string,
std::vector< Index > > 
IntegerMetaDataMapType
 
typedef std::map< std::string,
std::vector< Number > > 
NumericMetaDataMapType
 

Detailed Description

Definition at line 15 of file parametricTNLP.hpp.

Constructor & Destructor Documentation

Ipopt::ParametricTNLP::ParametricTNLP ( )

default constructor

virtual Ipopt::ParametricTNLP::~ParametricTNLP ( )
virtual

default destructor

Ipopt::ParametricTNLP::ParametricTNLP ( const ParametricTNLP )
private
Ipopt::ParametricTNLP::ParametricTNLP ( )

default constructor

virtual Ipopt::ParametricTNLP::~ParametricTNLP ( )
virtual

default destructor

Ipopt::ParametricTNLP::ParametricTNLP ( const ParametricTNLP )
private

Member Function Documentation

virtual bool Ipopt::ParametricTNLP::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.

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::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.

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::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.

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::eval_f ( Index  n,
const Number x,
bool  new_x,
Number obj_value 
)
virtual

Method to return the objective value.

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::eval_grad_f ( Index  n,
const Number x,
bool  new_x,
Number grad_f 
)
virtual

Method to return the gradient of the objective.

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::eval_g ( Index  n,
const Number x,
bool  new_x,
Index  m,
Number g 
)
virtual

Method to return the constraint residuals.

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::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)

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::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)

Reimplemented from Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::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 
)
virtual

overload this method to return any meta data for the variables and the constraints

Reimplemented from Ipopt::TNLP.

virtual void Ipopt::ParametricTNLP::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 
)
virtual

This method is called when the algorithm is complete so the TNLP can store/write the solution.

Implements Ipopt::TNLP.

virtual void Ipopt::ParametricTNLP::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 
)
virtual

This method is called just before finalize solution.

It returns the parametric solution of the dual variables and bound multipliers.

Reimplemented from Ipopt::TNLP.

ParametricTNLP& Ipopt::ParametricTNLP::operator= ( const ParametricTNLP )
private
virtual bool Ipopt::ParametricTNLP::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.

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::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.

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::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.

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::eval_f ( Index  n,
const Number x,
bool  new_x,
Number obj_value 
)
virtual

Method to return the objective value.

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::eval_grad_f ( Index  n,
const Number x,
bool  new_x,
Number grad_f 
)
virtual

Method to return the gradient of the objective.

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::eval_g ( Index  n,
const Number x,
bool  new_x,
Index  m,
Number g 
)
virtual

Method to return the constraint residuals.

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::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)

Implements Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::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)

Reimplemented from Ipopt::TNLP.

virtual bool Ipopt::ParametricTNLP::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 
)
virtual

overload this method to return any meta data for the variables and the constraints

Reimplemented from Ipopt::TNLP.

virtual void Ipopt::ParametricTNLP::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 
)
virtual

This method is called when the algorithm is complete so the TNLP can store/write the solution.

Implements Ipopt::TNLP.

virtual void Ipopt::ParametricTNLP::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 
)
virtual

This method is called just before finalize solution.

It returns the parametric solution of the dual variables and bound multipliers.

Reimplemented from Ipopt::TNLP.

ParametricTNLP& Ipopt::ParametricTNLP::operator= ( const ParametricTNLP )
private

Member Data Documentation

Number Ipopt::ParametricTNLP::nominal_eta1_
private

Definition at line 118 of file parametricTNLP.hpp.

Number Ipopt::ParametricTNLP::nominal_eta2_
private

Definition at line 119 of file parametricTNLP.hpp.

Number Ipopt::ParametricTNLP::eta_1_perturbed_value_
private

Definition at line 121 of file parametricTNLP.hpp.

Number Ipopt::ParametricTNLP::eta_2_perturbed_value_
private

Definition at line 122 of file parametricTNLP.hpp.


The documentation for this class was generated from the following files: