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# Ipopt::RestoIpoptNLP Class Reference

This class maps the traditional NLP into something that is more useful by Ipopt. More...

`#include <IpRestoIpoptNLP.hpp>`

Inheritance diagram for Ipopt::RestoIpoptNLP:

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Collaboration diagram for Ipopt::RestoIpoptNLP:

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List of all members.

## 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)
| 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 ()
| Lower bounds on x.
virtual SmartPtr< const Matrix > | Px_L ()
| Permutation matrix (x_L_ -> x).
virtual SmartPtr< const Vector > | x_U ()
| Upper bounds on x.
virtual SmartPtr< const Matrix > | Px_U ()
| Permutation matrix (x_U_ -> x.
virtual SmartPtr< const Vector > | d_L ()
| Lower bounds on d.
virtual SmartPtr< const Matrix > | Pd_L ()
| Permutation matrix (d_L_ -> d).
virtual SmartPtr< const Vector > | d_U ()
| Upper bounds on d.
virtual SmartPtr< const Matrix > | Pd_U ()
| 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_

## Detailed Description

This class maps the traditional NLP into something that is more useful by Ipopt.

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.

## Constructor & Destructor Documentation

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.

## Member Function Documentation

virtual bool Ipopt::RestoIpoptNLP::Initialize | ( | const Journalist & | jnlst,
|  | const OptionsList & | options,
|  | const std::string & | prefix |
| ) |  |  | `[virtual]`

Initialize - overloaded from IpoptNLP.

Reimplemented from Ipopt::IpoptNLP.

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]`

Initialize (create) structures for the iteration data.

Implements Ipopt::IpoptNLP.

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 |
| ) |  |  | `[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 87 of file IpRestoIpoptNLP.hpp.

virtual Number Ipopt::RestoIpoptNLP::f | ( | const Vector & | x | ) | `[virtual]`

Objective value (incorrect version for restoration phase).

Implements Ipopt::IpoptNLP.

virtual Number Ipopt::RestoIpoptNLP::f | ( | const Vector & | x,
|  | Number | mu |
| ) |  |  | `[virtual]`

Objective value.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::grad_f | ( | const Vector & | x | ) | `[virtual]`

Gradient of the objective (incorrect version for restoration phase).

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::grad_f | ( | const Vector & | x,
|  | Number | mu |
| ) |  |  | `[virtual]`

Gradient of the objective.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::c | ( | const Vector & | x | ) | `[virtual]`

Equality constraint residual.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::jac_c | ( | const Vector & | x | ) | `[virtual]`

Jacobian Matrix for equality constraints.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::d | ( | const Vector & | x | ) | `[virtual]`

Inequality constraint residual (reformulated as equalities with slacks.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::jac_d | ( | const Vector & | x | ) | `[virtual]`

Jacobian Matrix for inequality constraints.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const SymMatrix> Ipopt::RestoIpoptNLP::h | ( | const Vector & | x,
|  | Number | obj_factor,
|  | const Vector & | yc,
|  | const Vector & | yd |
| ) |  |  | `[virtual]`

Hessian of the Lagrangian (incorrect version for restoration phase).

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const SymMatrix> Ipopt::RestoIpoptNLP::h | ( | const Vector & | x,
|  | Number | obj_factor,
|  | const Vector & | yc,
|  | const Vector & | yd,
|  | Number | mu |
| ) |  |  | `[virtual]`

Hessian of the Lagrangian.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const SymMatrix> Ipopt::RestoIpoptNLP::uninitialized_h | ( |  | ) | `[virtual]`

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.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::x_L | ( |  | ) | `[inline, virtual]`

Lower bounds on x.

Implements Ipopt::IpoptNLP.

Definition at line 138 of file IpRestoIpoptNLP.hpp.

References Ipopt::GetRawPtr(), and x_L_.

virtual SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::Px_L | ( |  | ) | `[inline, virtual]`

Permutation matrix (x_L_ -> x).

Implements Ipopt::IpoptNLP.

Definition at line 144 of file IpRestoIpoptNLP.hpp.

References Ipopt::GetRawPtr(), and Px_L_.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::x_U | ( |  | ) | `[inline, virtual]`

Upper bounds on x.

Implements Ipopt::IpoptNLP.

Definition at line 150 of file IpRestoIpoptNLP.hpp.

References Ipopt::GetRawPtr(), and x_U_.

virtual SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::Px_U | ( |  | ) | `[inline, virtual]`

Permutation matrix (x_U_ -> x.

Implements Ipopt::IpoptNLP.

Definition at line 156 of file IpRestoIpoptNLP.hpp.

References Ipopt::GetRawPtr(), and Px_U_.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::d_L | ( |  | ) | `[inline, virtual]`

Lower bounds on d.

Implements Ipopt::IpoptNLP.

Definition at line 162 of file IpRestoIpoptNLP.hpp.

References d_L_, and Ipopt::GetRawPtr().

virtual SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::Pd_L | ( |  | ) | `[inline, virtual]`

Permutation matrix (d_L_ -> d).

Implements Ipopt::IpoptNLP.

Definition at line 168 of file IpRestoIpoptNLP.hpp.

References Ipopt::GetRawPtr(), and Pd_L_.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::d_U | ( |  | ) | `[inline, virtual]`

Upper bounds on d.

Implements Ipopt::IpoptNLP.

Definition at line 174 of file IpRestoIpoptNLP.hpp.

References d_U_, and Ipopt::GetRawPtr().

virtual SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::Pd_U | ( |  | ) | `[inline, virtual]`

Permutation matrix (d_U_ -> d.

Implements Ipopt::IpoptNLP.

Definition at line 180 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 185 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]`

Accessor method for vector/matrix spaces pointers.

Implements Ipopt::IpoptNLP.

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]`

User callback method.

Implements Ipopt::IpoptNLP.

IpoptNLP& Ipopt::RestoIpoptNLP::OrigIpNLP | ( |  | ) | const`[inline]`

Definition at line 227 of file IpRestoIpoptNLP.hpp.

References orig_ip_nlp_.

IpoptData& Ipopt::RestoIpoptNLP::OrigIpData | ( |  | ) | const`[inline]`

Definition at line 231 of file IpRestoIpoptNLP.hpp.

References orig_ip_data_.

IpoptCalculatedQuantities& Ipopt::RestoIpoptNLP::OrigIpCq | ( |  | ) | const`[inline]`

Definition at line 235 of file IpRestoIpoptNLP.hpp.

References orig_ip_cq_.

Number Ipopt::RestoIpoptNLP::Rho | ( |  | ) | const`[inline]`

Accessor Method for obtaining the Rho penalization factor for the ell_1 norm.

Definition at line 243 of file IpRestoIpoptNLP.hpp.

References rho_.

virtual Index Ipopt::RestoIpoptNLP::f_evals | ( |  | ) | const`[inline, virtual]`

Implements Ipopt::IpoptNLP.

Definition at line 250 of file IpRestoIpoptNLP.hpp.

References f_evals_.

virtual Index Ipopt::RestoIpoptNLP::grad_f_evals | ( |  | ) | const`[inline, virtual]`

Implements Ipopt::IpoptNLP.

Definition at line 254 of file IpRestoIpoptNLP.hpp.

References grad_f_evals_.

virtual Index Ipopt::RestoIpoptNLP::c_evals | ( |  | ) | const`[inline, virtual]`

Implements Ipopt::IpoptNLP.

Definition at line 258 of file IpRestoIpoptNLP.hpp.

References c_evals_.

virtual Index Ipopt::RestoIpoptNLP::jac_c_evals | ( |  | ) | const`[inline, virtual]`

Implements Ipopt::IpoptNLP.

Definition at line 262 of file IpRestoIpoptNLP.hpp.

References jac_c_evals_.

virtual Index Ipopt::RestoIpoptNLP::d_evals | ( |  | ) | const`[inline, virtual]`

Implements Ipopt::IpoptNLP.

Definition at line 266 of file IpRestoIpoptNLP.hpp.

References d_evals_.

virtual Index Ipopt::RestoIpoptNLP::jac_d_evals | ( |  | ) | const`[inline, virtual]`

Implements Ipopt::IpoptNLP.

Definition at line 270 of file IpRestoIpoptNLP.hpp.

References jac_d_evals_.

virtual Index Ipopt::RestoIpoptNLP::h_evals | ( |  | ) | const`[inline, virtual]`

Implements Ipopt::IpoptNLP.

Definition at line 274 of file IpRestoIpoptNLP.hpp.

References h_evals_.

Number Ipopt::RestoIpoptNLP::Eta | ( | Number | mu | ) | const

Method to calculate eta, the factor for the regularization term.

SmartPtr<const Vector> Ipopt::RestoIpoptNLP::DR_x | ( |  | ) | const`[inline]`

Method returning the scaling factors for the 2-norm penalization term.

Definition at line 285 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.

## Member Data Documentation

SmartPtr<IpoptNLP> Ipopt::RestoIpoptNLP::orig_ip_nlp_`[private]`

Pointer to the original IpoptNLP.

Definition at line 300 of file IpRestoIpoptNLP.hpp.

Referenced by OrigIpNLP().

SmartPtr<IpoptData> Ipopt::RestoIpoptNLP::orig_ip_data_`[private]`

Pointer to the original IpoptData.

Definition at line 303 of file IpRestoIpoptNLP.hpp.

Referenced by OrigIpData().

SmartPtr<IpoptCalculatedQuantities> Ipopt::RestoIpoptNLP::orig_ip_cq_`[private]`

Pointer to the original IpoptCalculatedQuantities.

Definition at line 306 of file IpRestoIpoptNLP.hpp.

Referenced by OrigIpCq().

SmartPtr<CompoundVectorSpace> Ipopt::RestoIpoptNLP::x_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 311 of file IpRestoIpoptNLP.hpp.

SmartPtr<const VectorSpace> Ipopt::RestoIpoptNLP::c_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 313 of file IpRestoIpoptNLP.hpp.

SmartPtr<const VectorSpace> Ipopt::RestoIpoptNLP::d_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 315 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundVectorSpace> Ipopt::RestoIpoptNLP::x_l_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 317 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrixSpace> Ipopt::RestoIpoptNLP::px_l_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 319 of file IpRestoIpoptNLP.hpp.

SmartPtr<const VectorSpace> Ipopt::RestoIpoptNLP::x_u_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 321 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrixSpace> Ipopt::RestoIpoptNLP::px_u_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 323 of file IpRestoIpoptNLP.hpp.

SmartPtr<const VectorSpace> Ipopt::RestoIpoptNLP::d_l_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 325 of file IpRestoIpoptNLP.hpp.

SmartPtr<const MatrixSpace> Ipopt::RestoIpoptNLP::pd_l_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 327 of file IpRestoIpoptNLP.hpp.

SmartPtr<const VectorSpace> Ipopt::RestoIpoptNLP::d_u_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 329 of file IpRestoIpoptNLP.hpp.

SmartPtr<const MatrixSpace> Ipopt::RestoIpoptNLP::pd_u_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 331 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrixSpace> Ipopt::RestoIpoptNLP::jac_c_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 333 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrixSpace> Ipopt::RestoIpoptNLP::jac_d_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 335 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundSymMatrixSpace> Ipopt::RestoIpoptNLP::h_space_`[private]`

Necessary Vector/Matrix spaces.

Definition at line 337 of file IpRestoIpoptNLP.hpp.

Referenced by HessianMatrixSpace().

SmartPtr<CompoundVector> Ipopt::RestoIpoptNLP::x_L_`[private]`

Lower bounds on x.

Definition at line 343 of file IpRestoIpoptNLP.hpp.

Referenced by x_L().

SmartPtr<CompoundMatrix> Ipopt::RestoIpoptNLP::Px_L_`[private]`

Permutation matrix (x_L_ -> x).

Definition at line 346 of file IpRestoIpoptNLP.hpp.

Referenced by Px_L().

SmartPtr<const Vector> Ipopt::RestoIpoptNLP::x_U_`[private]`

Upper bounds on x.

Definition at line 349 of file IpRestoIpoptNLP.hpp.

Referenced by x_U().

SmartPtr<CompoundMatrix> Ipopt::RestoIpoptNLP::Px_U_`[private]`

Permutation matrix (x_U_ -> x).

Definition at line 352 of file IpRestoIpoptNLP.hpp.

Referenced by Px_U().

SmartPtr<const Vector> Ipopt::RestoIpoptNLP::d_L_`[private]`

Lower bounds on d.

Definition at line 355 of file IpRestoIpoptNLP.hpp.

Referenced by d_L().

SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::Pd_L_`[private]`

Permutation matrix (d_L_ -> d).

Definition at line 358 of file IpRestoIpoptNLP.hpp.

Referenced by Pd_L().

SmartPtr<const Vector> Ipopt::RestoIpoptNLP::d_U_`[private]`

Upper bounds on d.

Definition at line 361 of file IpRestoIpoptNLP.hpp.

Referenced by d_U().

SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::Pd_U_`[private]`

Permutation matrix (d_U_ -> d.

Definition at line 364 of file IpRestoIpoptNLP.hpp.

Referenced by Pd_U().

Number Ipopt::RestoIpoptNLP::rho_`[private]`

Penalty parameter for the $l_1$ norm.

Definition at line 371 of file IpRestoIpoptNLP.hpp.

Referenced by Rho().

Number Ipopt::RestoIpoptNLP::eta_factor_`[private]`

scaling factor for eta calculation

Definition at line 373 of file IpRestoIpoptNLP.hpp.

Number Ipopt::RestoIpoptNLP::eta_mu_exponent_`[private]`

exponent for mu in eta calculation

Definition at line 375 of file IpRestoIpoptNLP.hpp.

SmartPtr<Vector> Ipopt::RestoIpoptNLP::dr_x_`[private]`

Scaling factors for the $x$ part of the regularization term.

Definition at line 378 of file IpRestoIpoptNLP.hpp.

Referenced by DR_x().

SmartPtr<DiagMatrix> Ipopt::RestoIpoptNLP::DR_x_`[private]`

Penalty parameter for the $l_1$ norm.

Definition at line 379 of file IpRestoIpoptNLP.hpp.

SmartPtr<Vector> Ipopt::RestoIpoptNLP::x_ref_`[private]`

$x$ part of the reference point in the regularization term

Definition at line 381 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 407 of file IpRestoIpoptNLP.hpp.

HessianApproximationType Ipopt::RestoIpoptNLP::hessian_approximation_`[private]`

Flag indicating how hessian information is obtained.

Definition at line 409 of file IpRestoIpoptNLP.hpp.

bool Ipopt::RestoIpoptNLP::initialized_`[private]`

Flag indicating if initialization method has been called.

Definition at line 413 of file IpRestoIpoptNLP.hpp.

Index Ipopt::RestoIpoptNLP::f_evals_`[private]`

Definition at line 417 of file IpRestoIpoptNLP.hpp.

Referenced by f_evals().

Index Ipopt::RestoIpoptNLP::grad_f_evals_`[private]`

Definition at line 418 of file IpRestoIpoptNLP.hpp.

Referenced by grad_f_evals().

Index Ipopt::RestoIpoptNLP::c_evals_`[private]`

Definition at line 419 of file IpRestoIpoptNLP.hpp.

Referenced by c_evals().

Index Ipopt::RestoIpoptNLP::jac_c_evals_`[private]`

Definition at line 420 of file IpRestoIpoptNLP.hpp.

Referenced by jac_c_evals().

Index Ipopt::RestoIpoptNLP::d_evals_`[private]`

Definition at line 421 of file IpRestoIpoptNLP.hpp.

Referenced by d_evals().

Index Ipopt::RestoIpoptNLP::jac_d_evals_`[private]`

Definition at line 422 of file IpRestoIpoptNLP.hpp.

Referenced by jac_d_evals().

Index Ipopt::RestoIpoptNLP::h_evals_`[private]`

Definition at line 423 of file IpRestoIpoptNLP.hpp.

Referenced by h_evals().

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

- /home/coin/SVN-release/Ipopt-3.2.1/Ipopt/src/Algorithm/IpRestoIpoptNLP.hpp