# Ipopt::IpoptData Class Reference

Class to organize all the data required by the algorithm. More...

`#include <IpIpoptData.hpp>`

Inheritance diagram for Ipopt::IpoptData:
[legend]

List of all members.

## Public Member Functions
bool | InitializeDataStructures (IpoptNLP &ip_nlp, bool want_x, bool want_y_c, bool want_y_d, bool want_z_L, bool want_z_U)
| Initialize Data Structures.
bool | Initialize (const Journalist &jnlst, const OptionsList &options, const std::string &prefix)
| This method must be called to initialize the global algorithmic parameters.
Number | cpu_time_start () const
| Cpu time counter at the beginning of the optimization.
TimingStatistics & | TimingStats ()
| Return Timing Statistics Object.
bool | HaveAddData ()
| Check if additional data has been set.
IpoptAdditionalData & | AdditionalData ()
| Get access to additional data object.
void | SetAddData (SmartPtr< IpoptAdditionalData > add_data)
| Set a new pointer for additional Ipopt data.
void | setPDPert (Number pd_pert_x, Number pd_pert_s, Number pd_pert_c, Number pd_pert_d)
| Set the perturbation of the primal-dual system.
void | getPDPert (Number &pd_pert_x, Number &pd_pert_s, Number &pd_pert_c, Number &pd_pert_d)
| Get the current perturbation of the primal-dual system.
Constructors/Destructors
| IpoptData (SmartPtr< IpoptAdditionalData > add_data=NULL, Number cpu_time_start=-1.)
| Constructor.
virtual | ~IpoptData ()
| Default destructor.
Get Methods for Iterates
SmartPtr< const IteratesVector > | curr () const
| Current point.
SmartPtr< const IteratesVector > | trial () const
| Get the current point in a copied container that is non-const.
void | set_trial (SmartPtr< IteratesVector > &trial)
| Get Trial point in a copied container that is non-const.
void | SetTrialPrimalVariablesFromStep (Number alpha, const Vector &delta_x, const Vector &delta_s)
| Set the values of the primal trial variables (x and s) from provided Step with step length alpha.
void | SetTrialEqMultipliersFromStep (Number alpha, const Vector &delta_y_c, const Vector &delta_y_d)
| Set the values of the trial values for the equality constraint multipliers (y_c and y_d) from provided step with step length alpha.
void | SetTrialBoundMultipliersFromStep (Number alpha, const Vector &delta_z_L, const Vector &delta_z_U, const Vector &delta_v_L, const Vector &delta_v_U)
| Set the value of the trial values for the bound multipliers (z_L, z_U, v_L, v_U) from provided step with step length alpha.
SmartPtr< const IteratesVector > | delta () const
| ToDo: I may need to add versions of set_trial like the following, but I am not sure.
void | set_delta (SmartPtr< IteratesVector > &delta)
| Set the current delta - like the trial point, this method copies the pointer for efficiency (no copy and to keep cache tags the same) so after you call set, you cannot modify the data.
void | set_delta (SmartPtr< const IteratesVector > &delta)
| Set the current delta - like the trial point, this method copies the pointer for efficiency (no copy and to keep cache tags the same) so after you call set, you cannot modify the data.
SmartPtr< const IteratesVector > | delta_aff () const
| Affine Delta.
void | set_delta_aff (SmartPtr< IteratesVector > &delta_aff)
| Set the affine delta - like the trial point, this method copies the pointer for efficiency (no copy and to keep cache tags the same) so after you call set, you cannot modify the data.
SmartPtr< const SymMatrix > | W ()
| Hessian or Hessian approximation (do not hold on to it, it might be changed).
void | Set_W (SmartPtr< const SymMatrix > W)
| Set Hessian approximation.
("Main") Primal-dual search direction. Those fields are
used to store the search directions computed from solving the primal-dual system, and can be used in the line search. They are overwritten in every iteration, so do not hold on to the pointers (make copies instead)
bool | HaveDeltas () const
| Returns true, if the primal-dual step have been already computed for the current iteration.
void | SetHaveDeltas (bool have_deltas)
| Method for setting the HaveDeltas flag.
Affine-scaling step. Those fields can be used to store
the affine scaling step. For example, if the method for computing the current barrier parameter computes the affine scaling steps, then the corrector step in the line search does not have to recompute those solutions of the linear system.
bool | HaveAffineDeltas () const
| Returns true, if the affine-scaling step have been already computed for the current iteration.
void | SetHaveAffineDeltas (bool have_affine_deltas)
| Method for setting the HaveDeltas flag.
Public Methods for updating iterates
void | CopyTrialToCurrent ()
| Copy the trial values to the current values.
void | AcceptTrialPoint ()
| Set the current iterate values from the trial values.
General algorithmic data
Index | iter_count () const
void | Set_iter_count (Index iter_count)
Number | curr_mu () const
void | Set_mu (Number mu)
bool | MuInitialized () const
Number | curr_tau () const
void | Set_tau (Number tau)
bool | TauInitialized () const
void | SetFreeMuMode (bool free_mu_mode)
bool | FreeMuMode () const
void | Set_tiny_step_flag (bool flag)
| Setting the flag that indicates if a tiny step (below machine precision) has been detected.
bool | tiny_step_flag ()
Information gathered for iteration output
Number | info_regu_x () const
void | Set_info_regu_x (Number regu_x)
Number | info_alpha_primal () const
void | Set_info_alpha_primal (Number alpha_primal)
char | info_alpha_primal_char () const
void | Set_info_alpha_primal_char (char info_alpha_primal_char)
Number | info_alpha_dual () const
void | Set_info_alpha_dual (Number alpha_dual)
Index | info_ls_count () const
void | Set_info_ls_count (Index ls_count)
bool | info_skip_output () const
void | Append_info_string (const std::string &add_str)
const std::string & | info_string () const
void | Set_info_skip_output (bool info_skip_output)
| Set this to true, if the next time when output is written, the summary line should not be printed.
Number | info_last_output ()
| gives time when the last summary output line was printed
void | Set_info_last_output (Number info_last_output)
| sets time when the last summary output line was printed
int | info_iters_since_header ()
| gives number of iteration summaries actually printed since last summary header was printed
void | Inc_info_iters_since_header ()
| increases number of iteration summaries actually printed since last summary header was printed
void | Set_info_iters_since_header (int info_iters_since_header)
| sets number of iteration summaries actually printed since last summary header was printed
void | ResetInfo ()
| Reset all info fields.
## 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.
| IpoptData (const IpoptData &)
| Copy Constructor.
void | operator= (const IpoptData &)
| Overloaded Equals Operator.
## Private Attributes
Index | iter_count_
| iteration count
Number | curr_mu_
| current barrier parameter
bool | mu_initialized_
Number | curr_tau_
| current fraction to the boundary parameter
bool | tau_initialized_
bool | initialize_called_
| flag indicating if Initialize method has been called (for debugging)
bool | have_prototypes_
| flag for debugging whether we have already curr_ values available (from which new Vectors can be generated
SmartPtr< IteratesVectorSpace > | iterates_space_
| VectorSpace for all the iterates.
TimingStatistics | timing_statistics_
| TimingStatistics object collecting all Ipopt timing statistics.
Number | cpu_time_start_
| CPU time counter at initialization.
SmartPtr< IpoptAdditionalData > | add_data_
| Object for the data specific for the Chen-Goldfarb penalty method algorithm.
Iterates
SmartPtr< const IteratesVector > | curr_
| Main iteration variables (current iteration).
SmartPtr< const IteratesVector > | trial_
| Main iteration variables (trial calculations).
SmartPtr< const SymMatrix > | W_
| Hessian (approximation) - might be changed elsewhere!
Primal-dual Step
SmartPtr< const IteratesVector > | delta_
bool | have_deltas_
| The following flag is set to true, if some other part of the algorithm (like the method for computing the barrier parameter) has already computed the primal-dual search direction.
Affine-scaling step. This used to transfer the
information about the affine-scaling step from the computation of the barrier parameter to the corrector (in the line search).
SmartPtr< const IteratesVector > | delta_aff_
bool | have_affine_deltas_
| The following flag is set to true, if some other part of the algorithm (like the method for computing the barrier parameter) has already computed the affine-scaling step.
Global algorithm parameters. Those are options that can
be modified by the user and appear at different places in the algorithm. They are set using an OptionsList object in the Initialize method.
Number | tol_
| Overall convergence tolerance.
Status data
bool | free_mu_mode_
| flag indicating whether the algorithm is in the free mu mode
bool | tiny_step_flag_
| flag indicating if a tiny step has been detected
Gathered information for iteration output
Number | info_regu_x_
| Size of regularization for the Hessian.
Number | info_alpha_primal_
| Primal step size.
char | info_alpha_primal_char_
| Info character for primal step size.
Number | info_alpha_dual_
| Dual step size.
Index | info_ls_count_
| Number of backtracking trial steps.
bool | info_skip_output_
| true, if next summary output line should not be printed (eg after restoration phase.
std::string | info_string_
| any string of characters for the end of the output line
Number | info_last_output_
| time when the last summary output line was printed
int | info_iters_since_header_
| number of iteration summaries actually printed since last summary header was printed
Information about the perturbation of the primal-dual
system
Number | pd_pert_x_
Number | pd_pert_s_
Number | pd_pert_c_
Number | pd_pert_d_
Number | tol () const
| Overall convergence tolerance.
void | Set_tol (Number tol)
| Set a new value for the tolerance.
static void | RegisterOptions (const SmartPtr< RegisteredOptions > &roptions)
| Methods for IpoptType.

## Detailed Description

Class to organize all the data required by the algorithm.

Internally, once this Data object has been initialized, all internal curr_ vectors must always be set (so that prototyes are available). The current values can only be set from the trial values. The trial values can be set by copying from a vector or by adding some fraction of a step to the current values. This object also stores steps, which allows to easily communicate the step from the step computation object to the line search object.

Definition at line 83 of file IpIpoptData.hpp.

## Constructor & Destructor Documentation

Ipopt::IpoptData::IpoptData | ( | SmartPtr< IpoptAdditionalData > | add_data = `NULL`,
|  | Number | cpu_time_start = `-1.` |
| ) |  |  |

Constructor.

virtual Ipopt::IpoptData::~IpoptData | ( |  | ) | `[virtual]`

Default destructor.

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

Copy Constructor.

## Member Function Documentation

bool Ipopt::IpoptData::InitializeDataStructures | ( | IpoptNLP & | ip_nlp,
|  | bool | want_x,
|  | bool | want_y_c,
|  | bool | want_y_d,
|  | bool | want_z_L,
|  | bool | want_z_U |
| ) |  |  |

Initialize Data Structures.

bool Ipopt::IpoptData::Initialize | ( | const Journalist & | jnlst,
|  | const OptionsList & | options,
|  | const std::string & | prefix |
| ) |  |  |

This method must be called to initialize the global algorithmic parameters.

The parameters are taken from the OptionsList object.

SmartPtr< const IteratesVector > Ipopt::IpoptData::curr | ( |  | ) | const`[inline]`

Current point.

Definition at line 690 of file IpIpoptData.hpp.

SmartPtr< const IteratesVector > Ipopt::IpoptData::trial | ( |  | ) | const`[inline]`

Get the current point in a copied container that is non-const.

The entries in the container cannot be modified, but the container can be modified to point to new entries. Get Trial point

Definition at line 698 of file IpIpoptData.hpp.

void Ipopt::IpoptData::set_trial | ( | SmartPtr< IteratesVector > & | trial | ) | `[inline]`

Get Trial point in a copied container that is non-const.

The entries in the container can not be modified, but the container can be modified to point to new entries. Set the trial point - this method copies the pointer for efficiency (no copy and to keep cache tags the same) so after you call set you cannot modify the data again

Definition at line 740 of file IpIpoptData.hpp.

void Ipopt::IpoptData::SetTrialPrimalVariablesFromStep | ( | Number | alpha,
|  | const Vector & | delta_x,
|  | const Vector & | delta_s |
| ) |  |  |

Set the values of the primal trial variables (x and s) from provided Step with step length alpha.

void Ipopt::IpoptData::SetTrialEqMultipliersFromStep | ( | Number | alpha,
|  | const Vector & | delta_y_c,
|  | const Vector & | delta_y_d |
| ) |  |  |

Set the values of the trial values for the equality constraint multipliers (y_c and y_d) from provided step with step length alpha.

void Ipopt::IpoptData::SetTrialBoundMultipliersFromStep | ( | Number | alpha,
|  | const Vector & | delta_z_L,
|  | const Vector & | delta_z_U,
|  | const Vector & | delta_v_L,
|  | const Vector & | delta_v_U |
| ) |  |  |

Set the value of the trial values for the bound multipliers (z_L, z_U, v_L, v_U) from provided step with step length alpha.

SmartPtr< const IteratesVector > Ipopt::IpoptData::delta | ( |  | ) | const`[inline]`

ToDo: I may need to add versions of set_trial like the following, but I am not sure.

get the current delta

Definition at line 706 of file IpIpoptData.hpp.

void Ipopt::IpoptData::set_delta | ( | SmartPtr< IteratesVector > & | delta | ) | `[inline]`

Set the current delta - like the trial point, this method copies the pointer for efficiency (no copy and to keep cache tags the same) so after you call set, you cannot modify the data.

Definition at line 761 of file IpIpoptData.hpp.

void Ipopt::IpoptData::set_delta | ( | SmartPtr< const IteratesVector > & | delta | ) | `[inline]`

Set the current delta - like the trial point, this method copies the pointer for efficiency (no copy and to keep cache tags the same) so after you call set, you cannot modify the data.

This is the version that is happy with a pointer to const IteratesVector.

Definition at line 780 of file IpIpoptData.hpp.

SmartPtr< const IteratesVector > Ipopt::IpoptData::delta_aff | ( |  | ) | const`[inline]`

Affine Delta.

Definition at line 714 of file IpIpoptData.hpp.

void Ipopt::IpoptData::set_delta_aff | ( | SmartPtr< IteratesVector > & | delta_aff | ) | `[inline]`

Set the affine delta - like the trial point, this method copies the pointer for efficiency (no copy and to keep cache tags the same) so after you call set, you cannot modify the data.

Definition at line 799 of file IpIpoptData.hpp.

SmartPtr<const SymMatrix> Ipopt::IpoptData::W | ( |  | ) | `[inline]`

Hessian or Hessian approximation (do not hold on to it, it might be changed).

Definition at line 201 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_W | ( | SmartPtr< const SymMatrix > | W | ) | `[inline]`

Set Hessian approximation.

Definition at line 208 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::HaveDeltas | ( |  | ) | const`[inline]`

Returns true, if the primal-dual step have been already computed for the current iteration.

This flag is reset after every call of AcceptTrialPoint(). If the search direction is computed during the computation of the barrier parameter, the method computing the barrier parameter should call SetHaveDeltas(true) to tell the IpoptAlgorithm object that it doesn't need to recompute the primal-dual step.

Definition at line 227 of file IpIpoptData.hpp.

void Ipopt::IpoptData::SetHaveDeltas | ( | bool | have_deltas | ) | `[inline]`

Method for setting the HaveDeltas flag.

This method should be called if some method computes the primal-dual step (and stores it in the delta_ fields of IpoptData) at an early part of the iteration. If that flag is set to true, the IpoptAlgorithm object will not recompute the step.

Definition at line 237 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::HaveAffineDeltas | ( |  | ) | const`[inline]`

Returns true, if the affine-scaling step have been already computed for the current iteration.

This flag is reset after every call of AcceptTrialPoint(). If the search direction is computed during the computation of the barrier parameter, the method computing the barrier parameter should call SetHaveDeltas(true) to tell the line search does not have to recompute them in case it wants to do a corrector step.

Definition at line 257 of file IpIpoptData.hpp.

void Ipopt::IpoptData::SetHaveAffineDeltas | ( | bool | have_affine_deltas | ) | `[inline]`

Method for setting the HaveDeltas flag.

This method should be called if some method computes the primal-dual step (and stores it in the delta_ fields of IpoptData) at an early part of the iteration. If that flag is set to true, the IpoptAlgorithm object will not recompute the step.

Definition at line 267 of file IpIpoptData.hpp.

void Ipopt::IpoptData::CopyTrialToCurrent | ( |  | ) | `[inline]`

Copy the trial values to the current values.

Definition at line 722 of file IpIpoptData.hpp.

void Ipopt::IpoptData::AcceptTrialPoint | ( |  | ) |

Set the current iterate values from the trial values.

Index Ipopt::IpoptData::iter_count | ( |  | ) | const`[inline]`

Definition at line 286 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_iter_count | ( | Index | iter_count | ) | `[inline]`

Definition at line 290 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::curr_mu | ( |  | ) | const`[inline]`

Definition at line 295 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_mu | ( | Number | mu | ) | `[inline]`

Definition at line 300 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::MuInitialized | ( |  | ) | const`[inline]`

Definition at line 305 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::curr_tau | ( |  | ) | const`[inline]`

Definition at line 310 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_tau | ( | Number | tau | ) | `[inline]`

Definition at line 315 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::TauInitialized | ( |  | ) | const`[inline]`

Definition at line 320 of file IpIpoptData.hpp.

void Ipopt::IpoptData::SetFreeMuMode | ( | bool | free_mu_mode | ) | `[inline]`

Definition at line 325 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::FreeMuMode | ( |  | ) | const`[inline]`

Definition at line 329 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_tiny_step_flag | ( | bool | flag | ) | `[inline]`

Setting the flag that indicates if a tiny step (below machine precision) has been detected.

Definition at line 336 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::tiny_step_flag | ( |  | ) | `[inline]`

Definition at line 340 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::tol | ( |  | ) | const`[inline]`

Overall convergence tolerance.

It is used in the convergence test, but also in some other parts of the algorithm that depend on the specified tolerance, such as the minimum value for the barrier parameter. Obtain the tolerance.

Definition at line 352 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_tol | ( | Number | tol | ) | `[inline]`

Set a new value for the tolerance.

One should be very careful when using this, since changing the predefined tolerance might have unexpected consequences. This method is for example used in the restoration convergence checker to tighten the restoration phase convergence tolerance, if the restoration phase converged to a point that has not a large value for the constraint violation.

Definition at line 364 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::cpu_time_start | ( |  | ) | const`[inline]`

Cpu time counter at the beginning of the optimization.

This is useful to see how much CPU time has been spent in this optimization run.

Definition at line 373 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::info_regu_x | ( |  | ) | const`[inline]`

Definition at line 380 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_info_regu_x | ( | Number | regu_x | ) | `[inline]`

Definition at line 384 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::info_alpha_primal | ( |  | ) | const`[inline]`

Definition at line 388 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_info_alpha_primal | ( | Number | alpha_primal | ) | `[inline]`

Definition at line 392 of file IpIpoptData.hpp.

char Ipopt::IpoptData::info_alpha_primal_char | ( |  | ) | const`[inline]`

Definition at line 396 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_info_alpha_primal_char | ( | char | info_alpha_primal_char | ) | `[inline]`

Definition at line 400 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::info_alpha_dual | ( |  | ) | const`[inline]`

Definition at line 404 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_info_alpha_dual | ( | Number | alpha_dual | ) | `[inline]`

Definition at line 408 of file IpIpoptData.hpp.

Index Ipopt::IpoptData::info_ls_count | ( |  | ) | const`[inline]`

Definition at line 412 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_info_ls_count | ( | Index | ls_count | ) | `[inline]`

Definition at line 416 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::info_skip_output | ( |  | ) | const`[inline]`

Definition at line 420 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Append_info_string | ( | const std::string & | add_str | ) | `[inline]`

Definition at line 424 of file IpIpoptData.hpp.

const std::string& Ipopt::IpoptData::info_string | ( |  | ) | const`[inline]`

Definition at line 428 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_info_skip_output | ( | bool | info_skip_output | ) | `[inline]`

Set this to true, if the next time when output is written, the summary line should not be printed.

Definition at line 434 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::info_last_output | ( |  | ) | `[inline]`

gives time when the last summary output line was printed

Definition at line 440 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_info_last_output | ( | Number | info_last_output | ) | `[inline]`

sets time when the last summary output line was printed

Definition at line 445 of file IpIpoptData.hpp.

int Ipopt::IpoptData::info_iters_since_header | ( |  | ) | `[inline]`

gives number of iteration summaries actually printed since last summary header was printed

Definition at line 452 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Inc_info_iters_since_header | ( |  | ) | `[inline]`

increases number of iteration summaries actually printed since last summary header was printed

Definition at line 458 of file IpIpoptData.hpp.

void Ipopt::IpoptData::Set_info_iters_since_header | ( | int | info_iters_since_header | ) | `[inline]`

sets number of iteration summaries actually printed since last summary header was printed

Definition at line 464 of file IpIpoptData.hpp.

void Ipopt::IpoptData::ResetInfo | ( |  | ) | `[inline]`

Reset all info fields.

Definition at line 470 of file IpIpoptData.hpp.

TimingStatistics& Ipopt::IpoptData::TimingStats | ( |  | ) | `[inline]`

Return Timing Statistics Object.

Definition at line 482 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::HaveAddData | ( |  | ) | `[inline]`

Check if additional data has been set.

Definition at line 488 of file IpIpoptData.hpp.

IpoptAdditionalData& Ipopt::IpoptData::AdditionalData | ( |  | ) | `[inline]`

Get access to additional data object.

Definition at line 494 of file IpIpoptData.hpp.

void Ipopt::IpoptData::SetAddData | ( | SmartPtr< IpoptAdditionalData > | add_data | ) | `[inline]`

Set a new pointer for additional Ipopt data.

Definition at line 500 of file IpIpoptData.hpp.

void Ipopt::IpoptData::setPDPert | ( | Number | pd_pert_x,
|  | Number | pd_pert_s,
|  | Number | pd_pert_c,
|  | Number | pd_pert_d |
| ) |  |  | `[inline]`

Set the perturbation of the primal-dual system.

Definition at line 507 of file IpIpoptData.hpp.

void Ipopt::IpoptData::getPDPert | ( | Number & | pd_pert_x,
|  | Number & | pd_pert_s,
|  | Number & | pd_pert_c,
|  | Number & | pd_pert_d |
| ) |  |  | `[inline]`

Get the current perturbation of the primal-dual system.

Definition at line 517 of file IpIpoptData.hpp.

static void Ipopt::IpoptData::RegisterOptions | ( | const SmartPtr< RegisteredOptions > & | roptions | ) | `[static]`

Methods for IpoptType.

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

Overloaded Equals Operator.

## Member Data Documentation

SmartPtr<const IteratesVector> Ipopt::IpoptData::curr_`[private]`

Main iteration variables (current iteration).

Definition at line 536 of file IpIpoptData.hpp.

SmartPtr<const IteratesVector> Ipopt::IpoptData::trial_`[private]`

Main iteration variables (trial calculations).

Definition at line 540 of file IpIpoptData.hpp.

SmartPtr<const SymMatrix> Ipopt::IpoptData::W_`[private]`

Hessian (approximation) - might be changed elsewhere!

Definition at line 543 of file IpIpoptData.hpp.

SmartPtr<const IteratesVector> Ipopt::IpoptData::delta_`[private]`

Definition at line 547 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::have_deltas_`[private]`

The following flag is set to true, if some other part of the algorithm (like the method for computing the barrier parameter) has already computed the primal-dual search direction.

This flag is reset when the AcceptTrialPoint method is called. ToDo: we could cue off of a null delta_;

Definition at line 555 of file IpIpoptData.hpp.

SmartPtr<const IteratesVector> Ipopt::IpoptData::delta_aff_`[private]`

Definition at line 563 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::have_affine_deltas_`[private]`

The following flag is set to true, if some other part of the algorithm (like the method for computing the barrier parameter) has already computed the affine-scaling step.

This flag is reset when the AcceptTrialPoint method is called. ToDo: we could cue off of a null delta_aff_;

Definition at line 570 of file IpIpoptData.hpp.

Index Ipopt::IpoptData::iter_count_`[private]`

iteration count

Definition at line 574 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::curr_mu_`[private]`

current barrier parameter

Definition at line 577 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::mu_initialized_`[private]`

Definition at line 578 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::curr_tau_`[private]`

current fraction to the boundary parameter

Definition at line 581 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::tau_initialized_`[private]`

Definition at line 582 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::initialize_called_`[private]`

flag indicating if Initialize method has been called (for debugging)

Definition at line 586 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::have_prototypes_`[private]`

flag for debugging whether we have already curr_ values available (from which new Vectors can be generated

Definition at line 590 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::tol_`[private]`

Overall convergence tolerance.

Definition at line 598 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::free_mu_mode_`[private]`

flag indicating whether the algorithm is in the free mu mode

Definition at line 604 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::tiny_step_flag_`[private]`

flag indicating if a tiny step has been detected

Definition at line 606 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::info_regu_x_`[private]`

Size of regularization for the Hessian.

Definition at line 612 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::info_alpha_primal_`[private]`

Primal step size.

Definition at line 614 of file IpIpoptData.hpp.

char Ipopt::IpoptData::info_alpha_primal_char_`[private]`

Info character for primal step size.

Definition at line 616 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::info_alpha_dual_`[private]`

Dual step size.

Definition at line 618 of file IpIpoptData.hpp.

Index Ipopt::IpoptData::info_ls_count_`[private]`

Number of backtracking trial steps.

Definition at line 620 of file IpIpoptData.hpp.

bool Ipopt::IpoptData::info_skip_output_`[private]`

true, if next summary output line should not be printed (eg after restoration phase.

Definition at line 623 of file IpIpoptData.hpp.

std::string Ipopt::IpoptData::info_string_`[private]`

any string of characters for the end of the output line

Definition at line 625 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::info_last_output_`[private]`

time when the last summary output line was printed

Definition at line 627 of file IpIpoptData.hpp.

int Ipopt::IpoptData::info_iters_since_header_`[private]`

number of iteration summaries actually printed since last summary header was printed

Definition at line 630 of file IpIpoptData.hpp.

SmartPtr<IteratesVectorSpace> Ipopt::IpoptData::iterates_space_`[private]`

VectorSpace for all the iterates.

Definition at line 634 of file IpIpoptData.hpp.

TimingStatistics Ipopt::IpoptData::timing_statistics_`[private]`

TimingStatistics object collecting all Ipopt timing statistics.

Definition at line 638 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::cpu_time_start_`[private]`

CPU time counter at initialization.

Definition at line 641 of file IpIpoptData.hpp.

SmartPtr<IpoptAdditionalData> Ipopt::IpoptData::add_data_`[private]`

Object for the data specific for the Chen-Goldfarb penalty method algorithm.

Definition at line 645 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::pd_pert_x_`[private]`

Definition at line 650 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::pd_pert_s_`[private]`

Definition at line 651 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::pd_pert_c_`[private]`

Definition at line 652 of file IpIpoptData.hpp.

Number Ipopt::IpoptData::pd_pert_d_`[private]`

Definition at line 653 of file IpIpoptData.hpp.

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

- src/Algorithm/IpIpoptData.hpp

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