Class implementating Example 2. More...
#include <MittelmannBndryCntrlDiri.hpp>
Public Member Functions | |
MittelmannBndryCntrlDiri2 () | |
virtual | ~MittelmannBndryCntrlDiri2 () |
virtual bool | InitializeProblem (Index N) |
Initialize internal parameters, where N is a parameter determining the problme size. | |
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MittelmannBndryCntrlDiriBase () | |
Constructor. | |
virtual | ~MittelmannBndryCntrlDiriBase () |
Default destructor. | |
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) |
Method for returning scaling parameters. | |
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 | 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 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_valu, const IpoptData *ip_data, IpoptCalculatedQuantities *ip_cq) |
This method is called after the optimization, and could write an output file with the optimal profiles. |
Protected Member Functions | |
virtual Number | y_d_cont (Number x1, Number x2) const |
Target profile function for y. | |
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void | SetBaseParameters (Index N, Number alpha, Number lb_y, Number ub_y, Number lb_u, Number ub_u, Number d_const) |
Method for setting the internal parameters that define the problem. |
Private Member Functions | |
hide implicitly defined contructors copy operators | |
MittelmannBndryCntrlDiri2 (const MittelmannBndryCntrlDiri2 &) | |
MittelmannBndryCntrlDiri2 & | operator= (const MittelmannBndryCntrlDiri2 &) |
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 |
overload this method to return the number of variables and constraints, and the number of non-zeros in the jacobian and the hessian. | |
typedef std::map< std::string, std::vector< Index > > | IntegerMetaDataMapType |
overload this method to return the number of variables and constraints, and the number of non-zeros in the jacobian and the hessian. | |
typedef std::map< std::string, std::vector< Number > > | NumericMetaDataMapType |
overload this method to return the number of variables and constraints, and the number of non-zeros in the jacobian and the hessian. |
Class implementating Example 2.
Definition at line 246 of file MittelmannBndryCntrlDiri.hpp.
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inline |
Definition at line 249 of file MittelmannBndryCntrlDiri.hpp.
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inlinevirtual |
Definition at line 252 of file MittelmannBndryCntrlDiri.hpp.
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private |
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inlinevirtual |
Initialize internal parameters, where N is a parameter determining the problme size.
This returns false, if N has an invalid value.
Implements RegisteredTNLP.
Definition at line 255 of file MittelmannBndryCntrlDiri.hpp.
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inlineprotectedvirtual |
Target profile function for y.
Implements MittelmannBndryCntrlDiriBase.
Definition at line 272 of file MittelmannBndryCntrlDiri.hpp.
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private |