Ipopt
3.12.12
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Class implemented the NLP discretization of. More...
#include <RegisteredTNLP.hpp>
Public Member Functions | |
virtual bool | InitializeProblem (Index N)=0 |
Initialize internal parameters, where N is a parameter determining the problme size. More... | |
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DECLARE_STD_EXCEPTION (INVALID_TNLP) | |
TNLP () | |
virtual | ~TNLP () |
Default destructor. 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)=0 |
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 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_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 More... | |
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. More... | |
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_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. 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... | |
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 More... | |
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. More... | |
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 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)=0 |
overload this method to return the jacobian of the constraints. 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) |
overload this method to return the hessian of the lagrangian. More... | |
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ReferencedObject () | |
virtual | ~ReferencedObject () |
Index | ReferenceCount () const |
void | AddRef (const Referencer *referencer) const |
void | ReleaseRef (const Referencer *referencer) const |
Additional Inherited Members | |
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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 |
Class implemented the NLP discretization of.
Definition at line 20 of file RegisteredTNLP.hpp.
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pure virtual |
Initialize internal parameters, where N is a parameter determining the problme size.
This returns false, if N has an invalid value.
Implemented in MittelmannDistCntrlNeumA3, MittelmannDistCntrlNeumB3, MittelmannBndryCntrlNeum4, MittelmannBndryCntrlNeum3, MittelmannDistCntrlNeumA2, MittelmannDistCntrlNeumB2, MittelmannDistCntrlDiri3a, MittelmannDistCntrlDiri3, MittelmannBndryCntrlNeum2, MittelmannBndryCntrlDiri4, MittelmannBndryCntrlDiri3D_27BT, MittelmannBndryCntrlDiri3, MittelmannBndryCntrlDiri3D_27, MittelmannDistCntrlDiri2, MittelmannBndryCntrlDiri3D, MittelmannDistCntrlNeumA1, MittelmannDistCntrlNeumB1, MittelmannBndryCntrlDiri2, MittelmannBndryCntrlNeum1, MittelmannDistCntrlDiri1, MittelmannBndryCntrlDiri3Dsin, MittelmannBndryCntrlDiri1, MittelmannParaCntrlBase< T >, LuksanVlcek1, LuksanVlcek2, LuksanVlcek3, LuksanVlcek4, LuksanVlcek5, LuksanVlcek6, and LuksanVlcek7.