# Ipopt::TNLP Class Reference

Base class for all NLP's that use standard triplet matrix form and dense vectors. More...

`#include <IpTNLP.hpp>`

Inheritance diagram for Ipopt::TNLP:
[legend]

List of all members.

## Public Types
enum | LinearityType { LINEAR, NON_LINEAR }
| Type of the constraints. More...
## Public Member Functions
| DECLARE_STD_EXCEPTION (INVALID_TNLP)
Constructors/Destructors
| TNLP ()
virtual | ~TNLP ()
| Default destructor.
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)=0
| This method is called when the algorithm is complete so the TNLP can store/write the solution.
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.
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.
Methods for quasi-Newton approximation. If the second
derivatives are approximated by Ipopt, it is better to do this only in the space of nonlinear variables. The following methods are call by Ipopt if the quasi-Newton approximation is selected. If -1 is returned as number of nonlinear variables, Ipopt assumes that all variables are nonlinear. Otherwise, it calls get_list_of_nonlinear_variables with an array into which the indices of the nonlinear variables should be written - the array has the lengths num_nonlin_vars, which is identical with the return value of get_number_of_nonlinear_variables(). It is assumed that the indices are counted starting with 1 in the FORTRAN_STYLE, and 0 for the C_STYLE.
virtual Index | get_number_of_nonlinear_variables ()
virtual bool | get_list_of_nonlinear_variables (Index num_nonlin_vars, Index *pos_nonlin_vars)
## Private Member Functions
Default Compiler Generated Methods
(Hidden to avoid implicit creation/calling). These methods are not implemented and we do not want the compiler to implement them for us, so we declare them private and do not define them. This ensures that they will not be implicitly created/called.
| TNLP (const TNLP &)
| Default Constructor.
void | operator= (const TNLP &)
| Overloaded Equals Operator.
## methods to gather information about the NLP
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
virtual bool | get_nlp_info (Index &n, Index &m, Index &nnz_jac_g, Index &nnz_h_lag, IndexStyleEnum &index_style)=0
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
virtual bool | get_bounds_info (Index n, Number *x_l, Number *x_u, Index m, Number *g_l, Number *g_u)=0
| overload this method to return the information about the bound on the variables and constraints.
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.
virtual bool | get_variables_linearity (Index n, LinearityType *var_types)
| overload this method to return the variables linearity (TNLP::LINEAR or TNLP::NON_LINEAR).
virtual bool | get_constraints_linearity (Index m, LinearityType *const_types)
| overload this method to return the constraint linearity.
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)=0
| overload this method to return the starting point.
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.
virtual bool | eval_f (Index n, const Number *x, bool new_x, Number &obj_value)=0
| overload this method to return the value of the objective function
virtual bool | eval_grad_f (Index n, const Number *x, bool new_x, Number *grad_f)=0
| overload this method to return the vector of the gradient of the objective w.r.t.
virtual bool | eval_g (Index n, const Number *x, bool new_x, Index m, Number *g)=0
| overload this method to return the vector of constraint values
virtual bool | eval_jac_g (Index n, const Number *x, bool new_x, Index m, Index nele_jac, Index *iRow, Index *jCol, Number *values)=0
| overload this method to return the jacobian of the constraints.
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)
| overload this method to return the hessian of the lagrangian.

## Detailed Description

Base class for all NLP's that use standard triplet matrix form and dense vectors.

This is the standard base class for all NLP's that use the standard triplet matrix form (as for Harwell routines) and dense vectors. The class TNLPAdapter then converts this interface to an interface that can be used directly by ipopt.

This interface presents the problem form:

min f(x)

s.t. gL <= g(x) <= gU

xL <= x <= xU

In order to specify an equality constraint, set gL_i = gU_i = rhs. The value that indicates "infinity" for the bounds (i.e. the variable or constraint has no lower bound (-infinity) or upper bound (+infinity)) is set through the option nlp_lower_bound_inf and nlp_upper_bound_inf. To indicate that a variable has no upper or lower bound, set the bound to -ipopt_inf or +ipopt_inf respectively

Definition at line 50 of file IpTNLP.hpp.

## Member Typedef Documentation

typedef std::map<std::string, std::vector<std::string> > Ipopt::TNLP::StringMetaDataMapType

Definition at line 84 of file IpTNLP.hpp.

typedef std::map<std::string, std::vector<Index> > Ipopt::TNLP::IntegerMetaDataMapType

Definition at line 85 of file IpTNLP.hpp.

typedef std::map<std::string, std::vector<Number> > Ipopt::TNLP::NumericMetaDataMapType

Definition at line 86 of file IpTNLP.hpp.

## Member Enumeration Documentation

enum Ipopt::TNLP::LinearityType

Type of the constraints.

Enumerator:

  LINEAR | Constraint/Variable is linear.
  NON_LINEAR | Constraint/Varaible is non-linear.

Definition at line 54 of file IpTNLP.hpp.

enum Ipopt::TNLP::IndexStyleEnum

overload this method to return the number of variables and constraints, and the number of non-zeros in the jacobian and the hessian.

The index_style parameter lets you specify C or Fortran style indexing for the sparse matrix iRow and jCol parameters. C_STYLE is 0-based, and FORTRAN_STYLE is 1-based.

Enumerator:

  C_STYLE |
  FORTRAN_STYLE |

Definition at line 80 of file IpTNLP.hpp.

## Constructor & Destructor Documentation

Ipopt::TNLP::TNLP | ( |  | ) | `[inline]`

Definition at line 62 of file IpTNLP.hpp.

virtual Ipopt::TNLP::~TNLP | ( |  | ) | `[inline, virtual]`

Default destructor.

Definition at line 66 of file IpTNLP.hpp.

Ipopt::TNLP::TNLP | ( | const TNLP & |  | ) | `[private]`

Default Constructor.

Copy Constructor

## Member Function Documentation

Ipopt::TNLP::DECLARE_STD_EXCEPTION | ( | INVALID_TNLP |  | ) |

virtual bool Ipopt::TNLP::get_nlp_info | ( | Index & | n,
|  | Index & | m,
|  | Index & | nnz_jac_g,
|  | Index & | nnz_h_lag,
|  | IndexStyleEnum & | index_style |
| ) |  |  | `[pure virtual]`

Implemented in MatlabProgram, IpoptRNLP, Ipopt::ParametricTNLP, Ipopt::MySensTNLP, MyNLP, HS071_NLP, LuksanVlcek1, LuksanVlcek2, LuksanVlcek3, LuksanVlcek4, LuksanVlcek5, LuksanVlcek6, LuksanVlcek7, MittelmannBndryCntrlDiriBase, MittelmannBndryCntrlDiriBase3D, MittelmannBndryCntrlDiriBase3D_27, MittelmannBndryCntrlDiriBase3Dsin, MittelmannBndryCntrlNeumBase, MittelmannDistCntrlDiriBase, MittelmannDistCntrlNeumABase, MittelmannDistCntrlNeumBBase, MittelmannParaCntrlBase< T >, Ipopt::AmplTNLP, Ipopt::StdInterfaceTNLP, HS071_NLP, TutorialCpp_NLP, TutorialCpp_NLP, and TutorialCpp_NLP.

virtual bool Ipopt::TNLP::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 |
| ) |  |  | `[inline, virtual]`

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

Reimplemented in Ipopt::SensAmplTNLP, Ipopt::ParametricTNLP, Ipopt::MySensTNLP, and Ipopt::AmplTNLP.

Definition at line 90 of file IpTNLP.hpp.

virtual bool Ipopt::TNLP::get_bounds_info | ( | Index | n,
|  | Number * | x_l,
|  | Number * | x_u,
|  | Index | m,
|  | Number * | g_l,
|  | Number * | g_u |
| ) |  |  | `[pure virtual]`

overload this method to return the information about the bound on the variables and constraints.

The value that indicates that a bound does not exist is specified in the parameters nlp_lower_bound_inf and nlp_upper_bound_inf. By default, nlp_lower_bound_inf is -1e19 and nlp_upper_bound_inf is 1e19. (see TNLPAdapter)

Implemented in MatlabProgram, IpoptRNLP, Ipopt::SensAmplTNLP, Ipopt::ParametricTNLP, Ipopt::MySensTNLP, MyNLP, HS071_NLP, LuksanVlcek1, LuksanVlcek2, LuksanVlcek3, LuksanVlcek4, LuksanVlcek5, LuksanVlcek6, LuksanVlcek7, MittelmannBndryCntrlDiriBase, MittelmannBndryCntrlDiriBase3D, MittelmannBndryCntrlDiriBase3D_27, MittelmannBndryCntrlDiriBase3Dsin, MittelmannBndryCntrlNeumBase, MittelmannDistCntrlDiriBase, MittelmannDistCntrlNeumABase, MittelmannDistCntrlNeumBBase, MittelmannParaCntrlBase< T >, Ipopt::AmplTNLP, Ipopt::StdInterfaceTNLP, Ipopt::TNLPReducer, HS071_NLP, TutorialCpp_NLP, TutorialCpp_NLP, and TutorialCpp_NLP.

virtual bool Ipopt::TNLP::get_scaling_parameters | ( | Number & | obj_scaling,
|  | bool & | use_x_scaling,
|  | Index | n,
|  | Number * | x_scaling,
|  | bool & | use_g_scaling,
|  | Index | m,
|  | Number * | g_scaling |
| ) |  |  | `[inline, virtual]`

overload this method to return scaling parameters.

This is only called if the options are set to retrieve user scaling. There, use_x_scaling (or use_g_scaling) should get set to true only if the variables (or constraints) are to be scaled. This method should return true only if the scaling parameters could be provided.

Reimplemented in MittelmannBndryCntrlDiriBase, MittelmannBndryCntrlDiriBase3D, MittelmannBndryCntrlDiriBase3D_27, MittelmannBndryCntrlDiriBase3Dsin, MittelmannBndryCntrlNeumBase, MittelmannDistCntrlDiriBase, MittelmannDistCntrlNeumABase, MittelmannDistCntrlNeumBBase, MittelmannParaCntrlBase< T >, Ipopt::AmplTNLP, Ipopt::StdInterfaceTNLP, and Ipopt::TNLPReducer.

Definition at line 119 of file IpTNLP.hpp.

virtual bool Ipopt::TNLP::get_variables_linearity | ( | Index | n,
|  | LinearityType * | var_types |
| ) |  |  | `[inline, virtual]`

overload this method to return the variables linearity (TNLP::LINEAR or TNLP::NON_LINEAR).

The var_types array has been allocated with length at least n. (default implementation just return false and does not fill the array).

Reimplemented in Ipopt::TNLPReducer.

Definition at line 132 of file IpTNLP.hpp.

virtual bool Ipopt::TNLP::get_constraints_linearity | ( | Index | m,
|  | LinearityType * | const_types |
| ) |  |  | `[inline, virtual]`

overload this method to return the constraint linearity.

array has been allocated with length at least n. (default implementation just return false and does not fill the array).

Reimplemented in Ipopt::AmplTNLP, and Ipopt::TNLPReducer.

Definition at line 140 of file IpTNLP.hpp.

virtual bool Ipopt::TNLP::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 |
| ) |  |  | `[pure virtual]`

overload this method to return the starting point.

The bool variables indicate whether the algorithm wants you to initialize x, z_L/z_u, and lambda, respectively. If, for some reason, the algorithm wants you to initialize these and you cannot, return false, which will cause Ipopt to stop. You will have to run Ipopt with different options then.

Implemented in MatlabProgram, IpoptRNLP, Ipopt::ParametricTNLP, Ipopt::MySensTNLP, MyNLP, HS071_NLP, LuksanVlcek1, LuksanVlcek2, LuksanVlcek3, LuksanVlcek4, LuksanVlcek5, LuksanVlcek6, LuksanVlcek7, MittelmannBndryCntrlDiriBase, MittelmannBndryCntrlDiriBase3D, MittelmannBndryCntrlDiriBase3D_27, MittelmannBndryCntrlDiriBase3Dsin, MittelmannBndryCntrlNeumBase, MittelmannDistCntrlDiriBase, MittelmannDistCntrlNeumABase, MittelmannDistCntrlNeumBBase, MittelmannParaCntrlBase< T >, Ipopt::AmplTNLP, Ipopt::StdInterfaceTNLP, Ipopt::TNLPReducer, HS071_NLP, TutorialCpp_NLP, TutorialCpp_NLP, and TutorialCpp_NLP.

virtual bool Ipopt::TNLP::get_warm_start_iterate | ( | IteratesVector & | warm_start_iterate | ) | `[inline, virtual]`

overload this method to provide an Ipopt iterate (already in the form Ipopt requires it internally) for a warm start.

Since this is only for expert users, a default dummy implementation is provided and returns false.

Reimplemented in Ipopt::TNLPReducer.

Definition at line 161 of file IpTNLP.hpp.

virtual bool Ipopt::TNLP::eval_f | ( | Index | n,
|  | const Number * | x,
|  | bool | new_x,
|  | Number & | obj_value |
| ) |  |  | `[pure virtual]`

overload this method to return the value of the objective function

Implemented in MatlabProgram, IpoptRNLP, Ipopt::ParametricTNLP, Ipopt::MySensTNLP, MyNLP, HS071_NLP, LuksanVlcek1, LuksanVlcek2, LuksanVlcek3, LuksanVlcek4, LuksanVlcek5, LuksanVlcek6, LuksanVlcek7, MittelmannBndryCntrlDiriBase, MittelmannBndryCntrlDiriBase3D, MittelmannBndryCntrlDiriBase3D_27, MittelmannBndryCntrlDiriBase3Dsin, MittelmannBndryCntrlNeumBase, MittelmannDistCntrlDiriBase, MittelmannDistCntrlNeumABase, MittelmannDistCntrlNeumBBase, MittelmannParaCntrlBase< T >, Ipopt::AmplTNLP, Ipopt::StdInterfaceTNLP, Ipopt::TNLPReducer, HS071_NLP, TutorialCpp_NLP, TutorialCpp_NLP, and TutorialCpp_NLP.

virtual bool Ipopt::TNLP::eval_grad_f | ( | Index | n,
|  | const Number * | x,
|  | bool | new_x,
|  | Number * | grad_f |
| ) |  |  | `[pure virtual]`

overload this method to return the vector of the gradient of the objective w.r.t.

x

Implemented in MatlabProgram, IpoptRNLP, Ipopt::ParametricTNLP, Ipopt::MySensTNLP, MyNLP, HS071_NLP, LuksanVlcek1, LuksanVlcek2, LuksanVlcek3, LuksanVlcek4, LuksanVlcek5, LuksanVlcek6, LuksanVlcek7, MittelmannBndryCntrlDiriBase, MittelmannBndryCntrlDiriBase3D, MittelmannBndryCntrlDiriBase3D_27, MittelmannBndryCntrlDiriBase3Dsin, MittelmannBndryCntrlNeumBase, MittelmannDistCntrlDiriBase, MittelmannDistCntrlNeumABase, MittelmannDistCntrlNeumBBase, MittelmannParaCntrlBase< T >, Ipopt::AmplTNLP, Ipopt::StdInterfaceTNLP, Ipopt::TNLPReducer, HS071_NLP, TutorialCpp_NLP, TutorialCpp_NLP, and TutorialCpp_NLP.

virtual bool Ipopt::TNLP::eval_g | ( | Index | n,
|  | const Number * | x,
|  | bool | new_x,
|  | Index | m,
|  | Number * | g |
| ) |  |  | `[pure virtual]`

overload this method to return the vector of constraint values

Implemented in MatlabProgram, IpoptRNLP, Ipopt::ParametricTNLP, Ipopt::MySensTNLP, MyNLP, HS071_NLP, LuksanVlcek1, LuksanVlcek2, LuksanVlcek3, LuksanVlcek4, LuksanVlcek5, LuksanVlcek6, LuksanVlcek7, MittelmannBndryCntrlDiriBase, MittelmannBndryCntrlDiriBase3D, MittelmannBndryCntrlDiriBase3D_27, MittelmannBndryCntrlDiriBase3Dsin, MittelmannBndryCntrlNeumBase, MittelmannDistCntrlDiriBase, MittelmannDistCntrlNeumABase, MittelmannDistCntrlNeumBBase, MittelmannParaCntrlBase< T >, Ipopt::AmplTNLP, Ipopt::StdInterfaceTNLP, Ipopt::TNLPReducer, HS071_NLP, TutorialCpp_NLP, TutorialCpp_NLP, and TutorialCpp_NLP.

virtual bool Ipopt::TNLP::eval_jac_g | ( | Index | n,
|  | const Number * | x,
|  | bool | new_x,
|  | Index | m,
|  | Index | nele_jac,
|  | Index * | iRow,
|  | Index * | jCol,
|  | Number * | values |
| ) |  |  | `[pure virtual]`

overload this method to return the jacobian of the constraints.

The vectors iRow and jCol only need to be set once. The first call is used to set the structure only (iRow and jCol will be non-NULL, and values will be NULL) For subsequent calls, iRow and jCol will be NULL.

Implemented in MatlabProgram, IpoptRNLP, Ipopt::ParametricTNLP, Ipopt::MySensTNLP, MyNLP, HS071_NLP, LuksanVlcek1, LuksanVlcek2, LuksanVlcek3, LuksanVlcek4, LuksanVlcek5, LuksanVlcek6, LuksanVlcek7, MittelmannBndryCntrlDiriBase, MittelmannBndryCntrlDiriBase3D, MittelmannBndryCntrlDiriBase3D_27, MittelmannBndryCntrlDiriBase3Dsin, MittelmannBndryCntrlNeumBase, MittelmannDistCntrlDiriBase, MittelmannDistCntrlNeumABase, MittelmannDistCntrlNeumBBase, MittelmannParaCntrlBase< T >, Ipopt::AmplTNLP, Ipopt::StdInterfaceTNLP, Ipopt::TNLPReducer, HS071_NLP, TutorialCpp_NLP, TutorialCpp_NLP, and TutorialCpp_NLP.

virtual bool Ipopt::TNLP::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 |
| ) |  |  | `[inline, virtual]`

overload this method to return the hessian of the lagrangian.

The vectors iRow and jCol only need to be set once (during the first call). The first call is used to set the structure only (iRow and jCol will be non-NULL, and values will be NULL) For subsequent calls, iRow and jCol will be NULL. This matrix is symmetric - specify the lower diagonal only. A default implementation is provided, in case the user wants to se quasi-Newton approximations to estimate the second derivatives and doesn't not neet to implement this method.

Reimplemented in MatlabProgram, IpoptRNLP, Ipopt::ParametricTNLP, Ipopt::MySensTNLP, MyNLP, HS071_NLP, LuksanVlcek1, LuksanVlcek2, LuksanVlcek3, LuksanVlcek4, LuksanVlcek5, LuksanVlcek6, LuksanVlcek7, MittelmannBndryCntrlDiriBase, MittelmannBndryCntrlDiriBase3D, MittelmannBndryCntrlDiriBase3D_27, MittelmannBndryCntrlDiriBase3Dsin, MittelmannBndryCntrlNeumBase, MittelmannDistCntrlDiriBase, MittelmannDistCntrlNeumABase, MittelmannDistCntrlNeumBBase, MittelmannParaCntrlBase< T >, Ipopt::AmplTNLP, Ipopt::StdInterfaceTNLP, Ipopt::TNLPReducer, HS071_NLP, TutorialCpp_NLP, TutorialCpp_NLP, and TutorialCpp_NLP.

Definition at line 196 of file IpTNLP.hpp.

virtual void Ipopt::TNLP::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 |
| ) |  |  | `[pure virtual]`

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

Implemented in IpoptRNLP, Ipopt::SensAmplTNLP, Ipopt::ParametricTNLP, Ipopt::MySensTNLP, MyNLP, HS071_NLP, LuksanVlcek1, LuksanVlcek2, LuksanVlcek3, LuksanVlcek4, LuksanVlcek5, LuksanVlcek6, LuksanVlcek7, MittelmannBndryCntrlDiriBase, MittelmannBndryCntrlDiriBase3D, MittelmannBndryCntrlDiriBase3D_27, MittelmannBndryCntrlDiriBase3Dsin, MittelmannBndryCntrlNeumBase, MittelmannDistCntrlDiriBase, MittelmannDistCntrlNeumABase, MittelmannDistCntrlNeumBBase, MittelmannParaCntrlBase< T >, Ipopt::AmplTNLP, Ipopt::StdInterfaceTNLP, Ipopt::TNLPReducer, HS071_NLP, TutorialCpp_NLP, TutorialCpp_NLP, and TutorialCpp_NLP.

virtual void Ipopt::TNLP::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 |
| ) |  |  | `[inline, virtual]`

This method is called just before finalize_solution.

With this method, the algorithm returns any metadata collected during its run, including the metadata provided by the user with the above get_var_con_metadata. Each metadata can be of type string, integer, and numeric. It can be associated to either the variables or the constraints. The metadata that was associated with the primal variable vector is stored in var_..._md. The metadata associated with the constraint multipliers is stored in con_..._md. The metadata associated with the bound multipliers is stored in var_..._md, with the suffixes "_z_L", and "_z_U", denoting lower and upper bounds.

Reimplemented in Ipopt::SensAmplTNLP, and Ipopt::ParametricTNLP.

Definition at line 226 of file IpTNLP.hpp.

virtual bool Ipopt::TNLP::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 |
| ) |  |  | `[inline, virtual]`

Intermediate Callback method for the user.

Providing dummy default implementation. For details see IntermediateCallBack in IpNLP.hpp.

Reimplemented in Ipopt::StdInterfaceTNLP, and Ipopt::TNLPReducer.

Definition at line 240 of file IpTNLP.hpp.

virtual Index Ipopt::TNLP::get_number_of_nonlinear_variables | ( |  | ) | `[inline, virtual]`

Reimplemented in Ipopt::AmplTNLP, and Ipopt::TNLPReducer.

Definition at line 267 of file IpTNLP.hpp.

virtual bool Ipopt::TNLP::get_list_of_nonlinear_variables | ( | Index | num_nonlin_vars,
|  | Index * | pos_nonlin_vars |
| ) |  |  | `[inline, virtual]`

Reimplemented in Ipopt::AmplTNLP, and Ipopt::TNLPReducer.

Definition at line 272 of file IpTNLP.hpp.

void Ipopt::TNLP::operator= | ( | const TNLP & |  | ) | `[private]`

Overloaded Equals Operator.

Reimplemented in IpoptRNLP, Ipopt::ParametricTNLP, Ipopt::MySensTNLP, MyNLP, HS071_NLP, LuksanVlcek1, LuksanVlcek2, LuksanVlcek3, LuksanVlcek4, LuksanVlcek5, LuksanVlcek6, LuksanVlcek7, MittelmannBndryCntrlDiriBase, MittelmannBndryCntrlDiri1, MittelmannBndryCntrlDiri2, MittelmannBndryCntrlDiri3, MittelmannBndryCntrlDiri4, MittelmannBndryCntrlDiriBase3D, MittelmannBndryCntrlDiri3D, MittelmannBndryCntrlDiriBase3D_27, MittelmannBndryCntrlDiri3D_27, MittelmannBndryCntrlDiri3D_27BT, MittelmannBndryCntrlDiriBase3Dsin, MittelmannBndryCntrlDiri3Dsin, MittelmannBndryCntrlNeumBase, MittelmannBndryCntrlNeum1, MittelmannBndryCntrlNeum2, MittelmannBndryCntrlNeum3, MittelmannBndryCntrlNeum4, MittelmannDistCntrlDiriBase, MittelmannDistCntrlDiri1, MittelmannDistCntrlDiri2, MittelmannDistCntrlDiri3, MittelmannDistCntrlDiri3a, MittelmannDistCntrlNeumABase, MittelmannDistCntrlNeumA1, MittelmannDistCntrlNeumA2, MittelmannDistCntrlNeumA3, MittelmannDistCntrlNeumBBase, MittelmannDistCntrlNeumB1, MittelmannDistCntrlNeumB2, MittelmannDistCntrlNeumB3, MittelmannParaCntrlBase< T >, Ipopt::AmplTNLP, Ipopt::StdInterfaceTNLP, Ipopt::TNLPReducer, HS071_NLP, TutorialCpp_NLP, TutorialCpp_NLP, and TutorialCpp_NLP.

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

- src/Interfaces/IpTNLP.hpp

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