#include <IpIpoptData.hpp>
Inheritance diagram for Ipopt::IpoptData:
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. | |
| TimingStatistics & | TimingStats () |
| Return Timing Statistics Object. | |
| CGPenaltyData & | CGPenData () |
| Get access to the Chen-Goldbarb penalty method specific 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 () | |
| Constructor. | |
| ~IpoptData () | |
| Default destructor. | |
Get Methods for Iterates | |
| SmartPtr< const IteratesVector > | curr () const |
| Current point. | |
| SmartPtr< const IteratesVector > | trial () const |
| Get Trial point. | |
| void | set_trial (SmartPtr< IteratesVector > &trial) |
| 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. | |
| 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 |
| get the current delta | |
| 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 () |
| Number | tol () const |
| Obtain the tolerance. | |
| void | Set_tol (Number tol) |
| Set a new value for the tolerance. | |
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. | |
| void | ResetInfo () |
| Reset all info fields. | |
Static Public Member Functions | |
| static void | RegisterOptions (const SmartPtr< RegisteredOptions > &roptions) |
| Methods for IpoptType. | |
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. | |
| CGPenaltyData *const | cgpen_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 | |
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_ |
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 34 of file IpIpoptData.hpp.
| Ipopt::IpoptData::IpoptData | ( | ) |
Constructor.
| Ipopt::IpoptData::~IpoptData | ( | ) |
Default destructor.
| Ipopt::IpoptData::IpoptData | ( | const IpoptData & | ) | [private] |
Copy Constructor.
| 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 573 of file IpIpoptData.hpp.
References curr_, DBG_ASSERT, and Ipopt::IsNull().
| SmartPtr< const IteratesVector > Ipopt::IpoptData::trial | ( | ) | const [inline] |
Get Trial point.
Definition at line 581 of file IpIpoptData.hpp.
References DBG_ASSERT, Ipopt::IsNull(), and trial_.
Referenced by set_trial().
| void Ipopt::IpoptData::set_trial | ( | SmartPtr< IteratesVector > & | trial | ) | [inline] |
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 623 of file IpIpoptData.hpp.
References Ipopt::ConstPtr(), DBG_ASSERT, Ipopt::GetRawPtr(), Ipopt::IsValid(), iterates_space_, trial(), and trial_.
| 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] |
get the current delta
Definition at line 589 of file IpIpoptData.hpp.
References DBG_ASSERT, delta_, and Ipopt::IsNull().
Referenced by set_delta().
| 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 644 of file IpIpoptData.hpp.
References Ipopt::ConstPtr(), delta(), delta_, and Ipopt::IsValid().
| 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 663 of file IpIpoptData.hpp.
References delta(), delta_, and Ipopt::IsValid().
| SmartPtr< const IteratesVector > Ipopt::IpoptData::delta_aff | ( | ) | const [inline] |
Affine Delta.
Definition at line 597 of file IpIpoptData.hpp.
References DBG_ASSERT, delta_aff_, and Ipopt::IsNull().
Referenced by set_delta_aff().
| 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 682 of file IpIpoptData.hpp.
References Ipopt::ConstPtr(), delta_aff(), delta_aff_, and Ipopt::IsValid().
Hessian or Hessian approximation (do not hold on to it, it might be changed).
Definition at line 143 of file IpIpoptData.hpp.
References DBG_ASSERT, Ipopt::IsValid(), and W_.
Referenced by Set_W().
| 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 169 of file IpIpoptData.hpp.
References have_deltas_.
| 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 179 of file IpIpoptData.hpp.
References have_deltas_.
| 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 199 of file IpIpoptData.hpp.
References have_affine_deltas_.
| 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 209 of file IpIpoptData.hpp.
References have_affine_deltas_.
| void Ipopt::IpoptData::CopyTrialToCurrent | ( | ) | [inline] |
Copy the trial values to the current values.
Definition at line 605 of file IpIpoptData.hpp.
References curr_, Ipopt::IsValid(), and trial_.
| void Ipopt::IpoptData::AcceptTrialPoint | ( | ) |
Set the current iterate values from the trial values.
| Index Ipopt::IpoptData::iter_count | ( | ) | const [inline] |
| void Ipopt::IpoptData::Set_iter_count | ( | Index | iter_count | ) | [inline] |
| Number Ipopt::IpoptData::curr_mu | ( | ) | const [inline] |
Definition at line 236 of file IpIpoptData.hpp.
References curr_mu_, DBG_ASSERT, and mu_initialized_.
| void Ipopt::IpoptData::Set_mu | ( | Number | mu | ) | [inline] |
| bool Ipopt::IpoptData::MuInitialized | ( | ) | const [inline] |
| Number Ipopt::IpoptData::curr_tau | ( | ) | const [inline] |
Definition at line 251 of file IpIpoptData.hpp.
References curr_tau_, DBG_ASSERT, and tau_initialized_.
| void Ipopt::IpoptData::Set_tau | ( | Number | tau | ) | [inline] |
| bool Ipopt::IpoptData::TauInitialized | ( | ) | const [inline] |
| void Ipopt::IpoptData::SetFreeMuMode | ( | bool | free_mu_mode | ) | [inline] |
| bool Ipopt::IpoptData::FreeMuMode | ( | ) | const [inline] |
| 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 277 of file IpIpoptData.hpp.
References tiny_step_flag_.
| bool Ipopt::IpoptData::tiny_step_flag | ( | ) | [inline] |
| Number Ipopt::IpoptData::tol | ( | ) | const [inline] |
Obtain the tolerance.
Definition at line 293 of file IpIpoptData.hpp.
References DBG_ASSERT, initialize_called_, and tol_.
| 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 305 of file IpIpoptData.hpp.
References tol_.
| Number Ipopt::IpoptData::info_regu_x | ( | ) | const [inline] |
| void Ipopt::IpoptData::Set_info_regu_x | ( | Number | regu_x | ) | [inline] |
| Number Ipopt::IpoptData::info_alpha_primal | ( | ) | const [inline] |
| void Ipopt::IpoptData::Set_info_alpha_primal | ( | Number | alpha_primal | ) | [inline] |
| char Ipopt::IpoptData::info_alpha_primal_char | ( | ) | const [inline] |
| void Ipopt::IpoptData::Set_info_alpha_primal_char | ( | char | info_alpha_primal_char | ) | [inline] |
| Number Ipopt::IpoptData::info_alpha_dual | ( | ) | const [inline] |
| void Ipopt::IpoptData::Set_info_alpha_dual | ( | Number | alpha_dual | ) | [inline] |
| Index Ipopt::IpoptData::info_ls_count | ( | ) | const [inline] |
| void Ipopt::IpoptData::Set_info_ls_count | ( | Index | ls_count | ) | [inline] |
| bool Ipopt::IpoptData::info_skip_output | ( | ) | const [inline] |
| void Ipopt::IpoptData::Append_info_string | ( | const std::string & | add_str | ) | [inline] |
| const std::string& Ipopt::IpoptData::info_string | ( | ) | const [inline] |
| 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 367 of file IpIpoptData.hpp.
References info_skip_output_.
| void Ipopt::IpoptData::ResetInfo | ( | ) | [inline] |
Reset all info fields.
Definition at line 373 of file IpIpoptData.hpp.
References info_alpha_dual_, info_alpha_primal_, info_alpha_primal_char_, info_ls_count_, info_regu_x_, info_skip_output_, and info_string_.
| TimingStatistics& Ipopt::IpoptData::TimingStats | ( | ) | [inline] |
Return Timing Statistics Object.
Definition at line 386 of file IpIpoptData.hpp.
References timing_statistics_.
| CGPenaltyData& Ipopt::IpoptData::CGPenData | ( | ) | [inline] |
Get access to the Chen-Goldbarb penalty method specific data.
Definition at line 392 of file IpIpoptData.hpp.
References cgpen_data_.
| 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 398 of file IpIpoptData.hpp.
References pd_pert_c_, pd_pert_d_, pd_pert_s_, and pd_pert_x_.
| 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 408 of file IpIpoptData.hpp.
References pd_pert_c_, pd_pert_d_, pd_pert_s_, and pd_pert_x_.
| static void Ipopt::IpoptData::RegisterOptions | ( | const SmartPtr< RegisteredOptions > & | roptions | ) | [static] |
Methods for IpoptType.
| void Ipopt::IpoptData::operator= | ( | const IpoptData & | ) | [private] |
Overloaded Equals Operator.
SmartPtr<const IteratesVector> Ipopt::IpoptData::curr_ [private] |
Main iteration variables (current iteration).
Definition at line 427 of file IpIpoptData.hpp.
Referenced by CopyTrialToCurrent(), and curr().
SmartPtr<const IteratesVector> Ipopt::IpoptData::trial_ [private] |
Main iteration variables (trial calculations).
Definition at line 431 of file IpIpoptData.hpp.
Referenced by CopyTrialToCurrent(), set_trial(), and trial().
SmartPtr<const SymMatrix> Ipopt::IpoptData::W_ [private] |
Hessian (approximation) - might be changed elsewhere!
Definition at line 434 of file IpIpoptData.hpp.
SmartPtr<const IteratesVector> Ipopt::IpoptData::delta_ [private] |
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 446 of file IpIpoptData.hpp.
Referenced by HaveDeltas(), and SetHaveDeltas().
SmartPtr<const IteratesVector> Ipopt::IpoptData::delta_aff_ [private] |
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 461 of file IpIpoptData.hpp.
Referenced by HaveAffineDeltas(), and SetHaveAffineDeltas().
Index Ipopt::IpoptData::iter_count_ [private] |
iteration count
Definition at line 465 of file IpIpoptData.hpp.
Referenced by iter_count(), and Set_iter_count().
Number Ipopt::IpoptData::curr_mu_ [private] |
bool Ipopt::IpoptData::mu_initialized_ [private] |
Definition at line 469 of file IpIpoptData.hpp.
Referenced by curr_mu(), MuInitialized(), and Set_mu().
Number Ipopt::IpoptData::curr_tau_ [private] |
current fraction to the boundary parameter
Definition at line 472 of file IpIpoptData.hpp.
Referenced by curr_tau(), and Set_tau().
bool Ipopt::IpoptData::tau_initialized_ [private] |
Definition at line 473 of file IpIpoptData.hpp.
Referenced by curr_tau(), Set_tau(), and TauInitialized().
bool Ipopt::IpoptData::initialize_called_ [private] |
flag indicating if Initialize method has been called (for debugging)
Definition at line 477 of file IpIpoptData.hpp.
Referenced by tol().
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 481 of file IpIpoptData.hpp.
Number Ipopt::IpoptData::tol_ [private] |
bool Ipopt::IpoptData::free_mu_mode_ [private] |
flag indicating whether the algorithm is in the free mu mode
Definition at line 495 of file IpIpoptData.hpp.
Referenced by FreeMuMode(), and SetFreeMuMode().
bool Ipopt::IpoptData::tiny_step_flag_ [private] |
flag indicating if a tiny step has been detected
Definition at line 497 of file IpIpoptData.hpp.
Referenced by Set_tiny_step_flag(), and tiny_step_flag().
Number Ipopt::IpoptData::info_regu_x_ [private] |
Size of regularization for the Hessian.
Definition at line 503 of file IpIpoptData.hpp.
Referenced by info_regu_x(), ResetInfo(), and Set_info_regu_x().
Number Ipopt::IpoptData::info_alpha_primal_ [private] |
Primal step size.
Definition at line 505 of file IpIpoptData.hpp.
Referenced by info_alpha_primal(), ResetInfo(), and Set_info_alpha_primal().
char Ipopt::IpoptData::info_alpha_primal_char_ [private] |
Info character for primal step size.
Definition at line 507 of file IpIpoptData.hpp.
Referenced by info_alpha_primal_char(), ResetInfo(), and Set_info_alpha_primal_char().
Number Ipopt::IpoptData::info_alpha_dual_ [private] |
Dual step size.
Definition at line 509 of file IpIpoptData.hpp.
Referenced by info_alpha_dual(), ResetInfo(), and Set_info_alpha_dual().
Index Ipopt::IpoptData::info_ls_count_ [private] |
Number of backtracking trial steps.
Definition at line 511 of file IpIpoptData.hpp.
Referenced by info_ls_count(), ResetInfo(), and Set_info_ls_count().
bool Ipopt::IpoptData::info_skip_output_ [private] |
true, if next summary output line should not be printed (eg after restoration phase.
Definition at line 514 of file IpIpoptData.hpp.
Referenced by info_skip_output(), ResetInfo(), and Set_info_skip_output().
std::string Ipopt::IpoptData::info_string_ [private] |
any string of characters for the end of the output line
Definition at line 516 of file IpIpoptData.hpp.
Referenced by Append_info_string(), info_string(), and ResetInfo().
VectorSpace for all the iterates.
Definition at line 520 of file IpIpoptData.hpp.
Referenced by set_trial().
TimingStatistics object collecting all Ipopt timing statistics.
Definition at line 524 of file IpIpoptData.hpp.
Referenced by TimingStats().
CGPenaltyData* const Ipopt::IpoptData::cgpen_data_ [private] |
Object for the data specific for the Chen-Goldfarb penalty method algorithm.
Definition at line 528 of file IpIpoptData.hpp.
Referenced by CGPenData().
Number Ipopt::IpoptData::pd_pert_x_ [private] |
Number Ipopt::IpoptData::pd_pert_s_ [private] |
Number Ipopt::IpoptData::pd_pert_c_ [private] |
Number Ipopt::IpoptData::pd_pert_d_ [private] |
1.4.7