#include <IpRestoIpoptNLP.hpp>
Inheritance diagram for Ipopt::RestoIpoptNLP:
Public Member Functions | |
virtual bool | Initialize (const Journalist &jnlst, const OptionsList &options, const std::string &prefix) |
Initialize - overloaded from IpoptNLP. | |
virtual bool | InitializeStructures (SmartPtr< Vector > &x, bool init_x, SmartPtr< Vector > &y_c, bool init_y_c, SmartPtr< Vector > &y_d, bool init_y_d, SmartPtr< Vector > &z_L, bool init_z_L, SmartPtr< Vector > &z_U, bool init_z_U, SmartPtr< Vector > &v_L, SmartPtr< Vector > &v_U) |
Initialize (create) structures for the iteration data. | |
virtual bool | GetWarmStartIterate (IteratesVector &warm_start_iterate) |
Method accessing the GetWarmStartIterate of the NLP. | |
virtual void | GetSpaces (SmartPtr< const VectorSpace > &x_space, SmartPtr< const VectorSpace > &c_space, SmartPtr< const VectorSpace > &d_space, SmartPtr< const VectorSpace > &x_l_space, SmartPtr< const MatrixSpace > &px_l_space, SmartPtr< const VectorSpace > &x_u_space, SmartPtr< const MatrixSpace > &px_u_space, SmartPtr< const VectorSpace > &d_l_space, SmartPtr< const MatrixSpace > &pd_l_space, SmartPtr< const VectorSpace > &d_u_space, SmartPtr< const MatrixSpace > &pd_u_space, SmartPtr< const MatrixSpace > &Jac_c_space, SmartPtr< const MatrixSpace > &Jac_d_space, SmartPtr< const SymMatrixSpace > &Hess_lagrangian_space) |
Accessor method for vector/matrix spaces pointers. | |
virtual void | AdjustVariableBounds (const Vector &new_x_L, const Vector &new_x_U, const Vector &new_d_L, const Vector &new_d_U) |
Method for adapting the variable bounds. | |
bool | IntermediateCallBack (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, SmartPtr< const IpoptData > ip_data, SmartPtr< IpoptCalculatedQuantities > ip_cq) |
User callback method. | |
Number | Rho () const |
Accessor Method for obtaining the Rho penalization factor for the ell_1 norm. | |
Number | Eta (Number mu) const |
Method to calculate eta, the factor for the regularization term. | |
SmartPtr< const Vector > | DR_x () const |
Method returning the scaling factors for the 2-norm penalization term. | |
Constructors/Destructors | |
RestoIpoptNLP (IpoptNLP &orig_ip_nlp, IpoptData &orig_ip_data, IpoptCalculatedQuantities &orig_ip_cq) | |
~RestoIpoptNLP () | |
Default destructor. | |
void | FinalizeSolution (SolverReturn status, const Vector &x, const Vector &z_L, const Vector &z_U, const Vector &c, const Vector &d, const Vector &y_c, const Vector &y_d, Number obj_value, const IpoptData *ip_data, IpoptCalculatedQuantities *ip_cq) |
Solution Routines - overloaded from IpoptNLP. | |
virtual bool | objective_depends_on_mu () const |
Method for telling IpoptCalculatedQuantities that the restoration phase objective function depends on the barrier parameter. | |
virtual Number | f (const Vector &x) |
Objective value (incorrect version for restoration phase). | |
virtual Number | f (const Vector &x, Number mu) |
Objective value. | |
virtual SmartPtr< const Vector > | grad_f (const Vector &x) |
Gradient of the objective (incorrect version for restoration phase). | |
virtual SmartPtr< const Vector > | grad_f (const Vector &x, Number mu) |
Gradient of the objective. | |
virtual SmartPtr< const Vector > | c (const Vector &x) |
Equality constraint residual. | |
virtual SmartPtr< const Matrix > | jac_c (const Vector &x) |
Jacobian Matrix for equality constraints. | |
virtual SmartPtr< const Vector > | d (const Vector &x) |
Inequality constraint residual (reformulated as equalities with slacks. | |
virtual SmartPtr< const Matrix > | jac_d (const Vector &x) |
Jacobian Matrix for inequality constraints. | |
virtual SmartPtr< const SymMatrix > | h (const Vector &x, Number obj_factor, const Vector &yc, const Vector &yd) |
Hessian of the Lagrangian (incorrect version for restoration phase). | |
virtual SmartPtr< const SymMatrix > | h (const Vector &x, Number obj_factor, const Vector &yc, const Vector &yd, Number mu) |
Hessian of the Lagrangian. | |
virtual SmartPtr< const SymMatrix > | uninitialized_h () |
Provides a Hessian matrix from the correct matrix space with uninitialized values. | |
virtual SmartPtr< const Vector > | x_L () const |
Lower bounds on x. | |
virtual SmartPtr< const Matrix > | Px_L () const |
Permutation matrix (x_L_ -> x). | |
virtual SmartPtr< const Vector > | x_U () const |
Upper bounds on x. | |
virtual SmartPtr< const Matrix > | Px_U () const |
Permutation matrix (x_U_ -> x. | |
virtual SmartPtr< const Vector > | d_L () const |
Lower bounds on d. | |
virtual SmartPtr< const Matrix > | Pd_L () const |
Permutation matrix (d_L_ -> d). | |
virtual SmartPtr< const Vector > | d_U () const |
Upper bounds on d. | |
virtual SmartPtr< const Matrix > | Pd_U () const |
Permutation matrix (d_U_ -> d. | |
virtual SmartPtr< const SymMatrixSpace > | HessianMatrixSpace () const |
Method for telling IpoptCalculatedQuantities that the restoration phase objective function depends on the barrier parameter. | |
Accessor method for the information of the original NLP. | |
These methods are not overloaded from IpoptNLP | |
IpoptNLP & | OrigIpNLP () const |
IpoptData & | OrigIpData () const |
IpoptCalculatedQuantities & | OrigIpCq () const |
Counters for the number of function evaluations. | |
virtual Index | f_evals () const |
virtual Index | grad_f_evals () const |
virtual Index | c_evals () const |
virtual Index | jac_c_evals () const |
virtual Index | d_evals () const |
virtual Index | jac_d_evals () const |
virtual Index | h_evals () const |
Static Public Member Functions | |
static void | RegisterOptions (SmartPtr< RegisteredOptions > roptions) |
Called by IpoptType to register the options. | |
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. | |
RestoIpoptNLP () | |
Default Constructor. | |
RestoIpoptNLP (const RestoIpoptNLP &) | |
Copy Constructor. | |
void | operator= (const RestoIpoptNLP &) |
Overloaded Equals Operator. | |
Private Attributes | |
bool | initialized_ |
Flag indicating if initialization method has been called. | |
Pointers for the original NLP information. | |
SmartPtr< IpoptNLP > | orig_ip_nlp_ |
Pointer to the original IpoptNLP. | |
SmartPtr< IpoptData > | orig_ip_data_ |
Pointer to the original IpoptData. | |
SmartPtr< IpoptCalculatedQuantities > | orig_ip_cq_ |
Pointer to the original IpoptCalculatedQuantities. | |
SmartPtr< CompoundVectorSpace > | x_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const VectorSpace > | c_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const VectorSpace > | d_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< CompoundVectorSpace > | x_l_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< CompoundMatrixSpace > | px_l_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const VectorSpace > | x_u_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< CompoundMatrixSpace > | px_u_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const VectorSpace > | d_l_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const MatrixSpace > | pd_l_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const VectorSpace > | d_u_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const MatrixSpace > | pd_u_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< CompoundMatrixSpace > | jac_c_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< CompoundMatrixSpace > | jac_d_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< CompoundSymMatrixSpace > | h_space_ |
Necessary Vector/Matrix spaces. | |
Storage for Model Quantities | |
SmartPtr< CompoundVector > | x_L_ |
Lower bounds on x. | |
SmartPtr< CompoundMatrix > | Px_L_ |
Permutation matrix (x_L_ -> x). | |
SmartPtr< const Vector > | x_U_ |
Upper bounds on x. | |
SmartPtr< CompoundMatrix > | Px_U_ |
Permutation matrix (x_U_ -> x). | |
SmartPtr< const Vector > | d_L_ |
Lower bounds on d. | |
SmartPtr< const Matrix > | Pd_L_ |
Permutation matrix (d_L_ -> d). | |
SmartPtr< const Vector > | d_U_ |
Upper bounds on d. | |
SmartPtr< const Matrix > | Pd_U_ |
Permutation matrix (d_U_ -> d. | |
Values particular to the restoration phase problem statement | |
Number | rho_ |
Penalty parameter for the $l_1$ norm. | |
Number | eta_factor_ |
scaling factor for eta calculation | |
Number | eta_mu_exponent_ |
exponent for mu in eta calculation | |
SmartPtr< Vector > | dr_x_ |
Scaling factors for the $x$ part of the regularization term. | |
SmartPtr< DiagMatrix > | DR_x_ |
Penalty parameter for the $l_1$ norm. | |
SmartPtr< Vector > | x_ref_ |
$x$ part of the reference point in the regularization term | |
Algorithmic parameter | |
bool | evaluate_orig_obj_at_resto_trial_ |
Flag indicating if evalution of the objective should be performed for every restoration phase objective function evaluation. | |
HessianApproximationType | hessian_approximation_ |
Flag indicating how hessian information is obtained. | |
Counters for the function evaluations | |
Index | f_evals_ |
Index | grad_f_evals_ |
Index | c_evals_ |
Index | jac_c_evals_ |
Index | d_evals_ |
Index | jac_d_evals_ |
Index | h_evals_ |
This class takes care of storing the calculated model results, handles cacheing, and (some day) takes care of addition of slacks.
Definition at line 32 of file IpRestoIpoptNLP.hpp.
Ipopt::RestoIpoptNLP::RestoIpoptNLP | ( | IpoptNLP & | orig_ip_nlp, | |
IpoptData & | orig_ip_data, | |||
IpoptCalculatedQuantities & | orig_ip_cq | |||
) |
Ipopt::RestoIpoptNLP::~RestoIpoptNLP | ( | ) |
Default destructor.
Ipopt::RestoIpoptNLP::RestoIpoptNLP | ( | ) | [private] |
Default Constructor.
Ipopt::RestoIpoptNLP::RestoIpoptNLP | ( | const RestoIpoptNLP & | ) | [private] |
Copy Constructor.
virtual bool Ipopt::RestoIpoptNLP::Initialize | ( | const Journalist & | jnlst, | |
const OptionsList & | options, | |||
const std::string & | prefix | |||
) | [virtual] |
virtual bool Ipopt::RestoIpoptNLP::InitializeStructures | ( | SmartPtr< Vector > & | x, | |
bool | init_x, | |||
SmartPtr< Vector > & | y_c, | |||
bool | init_y_c, | |||
SmartPtr< Vector > & | y_d, | |||
bool | init_y_d, | |||
SmartPtr< Vector > & | z_L, | |||
bool | init_z_L, | |||
SmartPtr< Vector > & | z_U, | |||
bool | init_z_U, | |||
SmartPtr< Vector > & | v_L, | |||
SmartPtr< Vector > & | v_U | |||
) | [virtual] |
virtual bool Ipopt::RestoIpoptNLP::GetWarmStartIterate | ( | IteratesVector & | warm_start_iterate | ) | [inline, virtual] |
Method accessing the GetWarmStartIterate of the NLP.
Implements Ipopt::IpoptNLP.
Definition at line 67 of file IpRestoIpoptNLP.hpp.
void Ipopt::RestoIpoptNLP::FinalizeSolution | ( | SolverReturn | status, | |
const Vector & | x, | |||
const Vector & | z_L, | |||
const Vector & | z_U, | |||
const Vector & | c, | |||
const Vector & | d, | |||
const Vector & | y_c, | |||
const Vector & | y_d, | |||
Number | obj_value, | |||
const IpoptData * | ip_data, | |||
IpoptCalculatedQuantities * | ip_cq | |||
) | [inline, virtual] |
Solution Routines - overloaded from IpoptNLP.
Implements Ipopt::IpoptNLP.
Definition at line 74 of file IpRestoIpoptNLP.hpp.
virtual bool Ipopt::RestoIpoptNLP::objective_depends_on_mu | ( | ) | const [inline, virtual] |
Method for telling IpoptCalculatedQuantities that the restoration phase objective function depends on the barrier parameter.
Reimplemented from Ipopt::IpoptNLP.
Definition at line 89 of file IpRestoIpoptNLP.hpp.
Provides a Hessian matrix from the correct matrix space with uninitialized values.
This can be used in LeastSquareMults to obtain a "zero Hessian".
Implements Ipopt::IpoptNLP.
Lower bounds on x.
Implements Ipopt::IpoptNLP.
Definition at line 140 of file IpRestoIpoptNLP.hpp.
References Ipopt::GetRawPtr(), and x_L_.
Permutation matrix (x_L_ -> x).
Implements Ipopt::IpoptNLP.
Definition at line 146 of file IpRestoIpoptNLP.hpp.
References Ipopt::GetRawPtr(), and Px_L_.
Upper bounds on x.
Implements Ipopt::IpoptNLP.
Definition at line 152 of file IpRestoIpoptNLP.hpp.
References Ipopt::GetRawPtr(), and x_U_.
Permutation matrix (x_U_ -> x.
Implements Ipopt::IpoptNLP.
Definition at line 158 of file IpRestoIpoptNLP.hpp.
References Ipopt::GetRawPtr(), and Px_U_.
Lower bounds on d.
Implements Ipopt::IpoptNLP.
Definition at line 164 of file IpRestoIpoptNLP.hpp.
References d_L_, and Ipopt::GetRawPtr().
Permutation matrix (d_L_ -> d).
Implements Ipopt::IpoptNLP.
Definition at line 170 of file IpRestoIpoptNLP.hpp.
References Ipopt::GetRawPtr(), and Pd_L_.
Upper bounds on d.
Implements Ipopt::IpoptNLP.
Definition at line 176 of file IpRestoIpoptNLP.hpp.
References d_U_, and Ipopt::GetRawPtr().
Permutation matrix (d_U_ -> d.
Implements Ipopt::IpoptNLP.
Definition at line 182 of file IpRestoIpoptNLP.hpp.
References Ipopt::GetRawPtr(), and Pd_U_.
virtual SmartPtr<const SymMatrixSpace> Ipopt::RestoIpoptNLP::HessianMatrixSpace | ( | ) | const [inline, virtual] |
Method for telling IpoptCalculatedQuantities that the restoration phase objective function depends on the barrier parameter.
Implements Ipopt::IpoptNLP.
Definition at line 187 of file IpRestoIpoptNLP.hpp.
References Ipopt::GetRawPtr(), and h_space_.
virtual void Ipopt::RestoIpoptNLP::GetSpaces | ( | SmartPtr< const VectorSpace > & | x_space, | |
SmartPtr< const VectorSpace > & | c_space, | |||
SmartPtr< const VectorSpace > & | d_space, | |||
SmartPtr< const VectorSpace > & | x_l_space, | |||
SmartPtr< const MatrixSpace > & | px_l_space, | |||
SmartPtr< const VectorSpace > & | x_u_space, | |||
SmartPtr< const MatrixSpace > & | px_u_space, | |||
SmartPtr< const VectorSpace > & | d_l_space, | |||
SmartPtr< const MatrixSpace > & | pd_l_space, | |||
SmartPtr< const VectorSpace > & | d_u_space, | |||
SmartPtr< const MatrixSpace > & | pd_u_space, | |||
SmartPtr< const MatrixSpace > & | Jac_c_space, | |||
SmartPtr< const MatrixSpace > & | Jac_d_space, | |||
SmartPtr< const SymMatrixSpace > & | Hess_lagrangian_space | |||
) | [virtual] |
virtual void Ipopt::RestoIpoptNLP::AdjustVariableBounds | ( | const Vector & | new_x_L, | |
const Vector & | new_x_U, | |||
const Vector & | new_d_L, | |||
const Vector & | new_d_U | |||
) | [virtual] |
Method for adapting the variable bounds.
This is called if slacks are becoming too small
Implements Ipopt::IpoptNLP.
bool Ipopt::RestoIpoptNLP::IntermediateCallBack | ( | 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, | |||
SmartPtr< const IpoptData > | ip_data, | |||
SmartPtr< IpoptCalculatedQuantities > | ip_cq | |||
) | [virtual] |
IpoptNLP& Ipopt::RestoIpoptNLP::OrigIpNLP | ( | ) | const [inline] |
IpoptData& Ipopt::RestoIpoptNLP::OrigIpData | ( | ) | const [inline] |
IpoptCalculatedQuantities& Ipopt::RestoIpoptNLP::OrigIpCq | ( | ) | const [inline] |
Number Ipopt::RestoIpoptNLP::Rho | ( | ) | const [inline] |
Accessor Method for obtaining the Rho penalization factor for the ell_1 norm.
Definition at line 245 of file IpRestoIpoptNLP.hpp.
References rho_.
virtual Index Ipopt::RestoIpoptNLP::f_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 252 of file IpRestoIpoptNLP.hpp.
References f_evals_.
virtual Index Ipopt::RestoIpoptNLP::grad_f_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 256 of file IpRestoIpoptNLP.hpp.
References grad_f_evals_.
virtual Index Ipopt::RestoIpoptNLP::c_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 260 of file IpRestoIpoptNLP.hpp.
References c_evals_.
virtual Index Ipopt::RestoIpoptNLP::jac_c_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 264 of file IpRestoIpoptNLP.hpp.
References jac_c_evals_.
virtual Index Ipopt::RestoIpoptNLP::d_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 268 of file IpRestoIpoptNLP.hpp.
References d_evals_.
virtual Index Ipopt::RestoIpoptNLP::jac_d_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 272 of file IpRestoIpoptNLP.hpp.
References jac_d_evals_.
virtual Index Ipopt::RestoIpoptNLP::h_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 276 of file IpRestoIpoptNLP.hpp.
References h_evals_.
Method to calculate eta, the factor for the regularization term.
Method returning the scaling factors for the 2-norm penalization term.
Definition at line 287 of file IpRestoIpoptNLP.hpp.
References Ipopt::ConstPtr(), and dr_x_.
static void Ipopt::RestoIpoptNLP::RegisterOptions | ( | SmartPtr< RegisteredOptions > | roptions | ) | [static] |
Called by IpoptType to register the options.
void Ipopt::RestoIpoptNLP::operator= | ( | const RestoIpoptNLP & | ) | [private] |
Overloaded Equals Operator.
SmartPtr<IpoptNLP> Ipopt::RestoIpoptNLP::orig_ip_nlp_ [private] |
Pointer to the original IpoptNLP.
Definition at line 302 of file IpRestoIpoptNLP.hpp.
Referenced by OrigIpNLP().
SmartPtr<IpoptData> Ipopt::RestoIpoptNLP::orig_ip_data_ [private] |
Pointer to the original IpoptData.
Definition at line 305 of file IpRestoIpoptNLP.hpp.
Referenced by OrigIpData().
Pointer to the original IpoptCalculatedQuantities.
Definition at line 308 of file IpRestoIpoptNLP.hpp.
Referenced by OrigIpCq().
SmartPtr<const VectorSpace> Ipopt::RestoIpoptNLP::c_space_ [private] |
SmartPtr<const VectorSpace> Ipopt::RestoIpoptNLP::d_space_ [private] |
SmartPtr<const VectorSpace> Ipopt::RestoIpoptNLP::x_u_space_ [private] |
SmartPtr<const VectorSpace> Ipopt::RestoIpoptNLP::d_l_space_ [private] |
SmartPtr<const MatrixSpace> Ipopt::RestoIpoptNLP::pd_l_space_ [private] |
SmartPtr<const VectorSpace> Ipopt::RestoIpoptNLP::d_u_space_ [private] |
SmartPtr<const MatrixSpace> Ipopt::RestoIpoptNLP::pd_u_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 339 of file IpRestoIpoptNLP.hpp.
Referenced by HessianMatrixSpace().
SmartPtr<CompoundVector> Ipopt::RestoIpoptNLP::x_L_ [private] |
SmartPtr<CompoundMatrix> Ipopt::RestoIpoptNLP::Px_L_ [private] |
Permutation matrix (x_L_ -> x).
Definition at line 348 of file IpRestoIpoptNLP.hpp.
Referenced by Px_L().
SmartPtr<const Vector> Ipopt::RestoIpoptNLP::x_U_ [private] |
SmartPtr<CompoundMatrix> Ipopt::RestoIpoptNLP::Px_U_ [private] |
Permutation matrix (x_U_ -> x).
Definition at line 354 of file IpRestoIpoptNLP.hpp.
Referenced by Px_U().
SmartPtr<const Vector> Ipopt::RestoIpoptNLP::d_L_ [private] |
SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::Pd_L_ [private] |
Permutation matrix (d_L_ -> d).
Definition at line 360 of file IpRestoIpoptNLP.hpp.
Referenced by Pd_L().
SmartPtr<const Vector> Ipopt::RestoIpoptNLP::d_U_ [private] |
SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::Pd_U_ [private] |
Permutation matrix (d_U_ -> d.
Definition at line 366 of file IpRestoIpoptNLP.hpp.
Referenced by Pd_U().
Number Ipopt::RestoIpoptNLP::rho_ [private] |
Penalty parameter for the $l_1$ norm.
Definition at line 373 of file IpRestoIpoptNLP.hpp.
Referenced by Rho().
Number Ipopt::RestoIpoptNLP::eta_factor_ [private] |
Number Ipopt::RestoIpoptNLP::eta_mu_exponent_ [private] |
SmartPtr<Vector> Ipopt::RestoIpoptNLP::dr_x_ [private] |
Scaling factors for the $x$ part of the regularization term.
Definition at line 380 of file IpRestoIpoptNLP.hpp.
Referenced by DR_x().
SmartPtr<DiagMatrix> Ipopt::RestoIpoptNLP::DR_x_ [private] |
SmartPtr<Vector> Ipopt::RestoIpoptNLP::x_ref_ [private] |
$x$ part of the reference point in the regularization term
Definition at line 383 of file IpRestoIpoptNLP.hpp.
bool Ipopt::RestoIpoptNLP::evaluate_orig_obj_at_resto_trial_ [private] |
Flag indicating if evalution of the objective should be performed for every restoration phase objective function evaluation.
Definition at line 409 of file IpRestoIpoptNLP.hpp.
Flag indicating how hessian information is obtained.
Definition at line 411 of file IpRestoIpoptNLP.hpp.
bool Ipopt::RestoIpoptNLP::initialized_ [private] |
Flag indicating if initialization method has been called.
Definition at line 415 of file IpRestoIpoptNLP.hpp.
Index Ipopt::RestoIpoptNLP::f_evals_ [private] |
Index Ipopt::RestoIpoptNLP::grad_f_evals_ [private] |
Index Ipopt::RestoIpoptNLP::c_evals_ [private] |
Index Ipopt::RestoIpoptNLP::jac_c_evals_ [private] |
Index Ipopt::RestoIpoptNLP::d_evals_ [private] |
Index Ipopt::RestoIpoptNLP::jac_d_evals_ [private] |
Index Ipopt::RestoIpoptNLP::h_evals_ [private] |