This class maps the traditional NLP into something that is more useful by Ipopt. More...
#include <IpOrigIpoptNLP.hpp>
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. | |
SmartPtr< NLP > | nlp () |
Accessor method to the underlying NLP. | |
void | ResetTimes () |
Reset the timing statistics. | |
void | PrintTimingStatistics (Journalist &jnlst, EJournalLevel level, EJournalCategory category) const |
Number | TotalFunctionEvaluationCpuTime () const |
Number | TotalFunctionEvaluationSysTime () const |
Number | TotalFunctionEvaluationWallclockTime () const |
Constructors/Destructors | |
OrigIpoptNLP (const SmartPtr< const Journalist > &jnlst, const SmartPtr< NLP > &nlp, const SmartPtr< NLPScalingObject > &nlp_scaling) | |
Default destructor. | |
virtual | ~OrigIpoptNLP () |
Default destructor. | |
virtual Number | f (const Vector &x) |
Accessor methods for model data. | |
virtual Number | f (const Vector &x, Number mu) |
Objective value (depending in mu) - incorrect version for OrigIpoptNLP. | |
virtual SmartPtr< const Vector > | grad_f (const Vector &x) |
Gradient of the objective. | |
virtual SmartPtr< const Vector > | grad_f (const Vector &x, Number mu) |
Gradient of the objective (depending in mu) - incorrect version for OrigIpoptNLP. | |
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. | |
virtual SmartPtr< const SymMatrix > | h (const Vector &x, Number obj_factor, const Vector &yc, const Vector &yd, Number mu) |
Hessian of the Lagrangian (depending in mu) - incorrect version for OrigIpoptNLP. | |
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 |
Accessor methods for model data. | |
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 |
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. | |
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) |
Solution Routines - overloaded from IpoptNLP. | |
Static Public Member Functions | |
Methods for IpoptType | |
static void | RegisterOptions (SmartPtr< RegisteredOptions > roptions) |
Called by IpoptType to register the options. | |
Private Member Functions | |
Default Compiler Generated Methods | |
OrigIpoptNLP () | |
Default Constructor. | |
OrigIpoptNLP (const OrigIpoptNLP &) | |
Copy Constructor. | |
void | operator= (const OrigIpoptNLP &) |
Overloaded Equals Operator. | |
auxilliary functions | |
void | relax_bounds (Number bound_relax_factor, Vector &bounds) |
relax the bounds by a relative move of relax_bound_factor. | |
SmartPtr< const Vector > | get_unscaled_x (const Vector &x) |
Method for getting the unscaled version of the x vector. | |
Private Attributes | |
SmartPtr< const Journalist > | jnlst_ |
journalist | |
SmartPtr< NLP > | nlp_ |
Pointer to the NLP. | |
bool | initialized_ |
Flag indicating if initialization method has been called. | |
SmartPtr< const VectorSpace > | 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< const VectorSpace > | x_l_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const MatrixSpace > | px_l_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const VectorSpace > | x_u_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const MatrixSpace > | 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< const MatrixSpace > | jac_c_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const MatrixSpace > | jac_d_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const SymMatrixSpace > | h_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const MatrixSpace > | scaled_jac_c_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const MatrixSpace > | scaled_jac_d_space_ |
Necessary Vector/Matrix spaces. | |
SmartPtr< const SymMatrixSpace > | scaled_h_space_ |
Necessary Vector/Matrix spaces. | |
Storage for Model Quantities | |
CachedResults< Number > | f_cache_ |
Objective function. | |
CachedResults< SmartPtr< const Vector > > | grad_f_cache_ |
Gradient of the objective function. | |
CachedResults< SmartPtr< const Vector > > | c_cache_ |
Equality constraint residuals. | |
CachedResults< SmartPtr< const Matrix > > | jac_c_cache_ |
Jacobian Matrix for equality constraints (current iteration). | |
CachedResults< SmartPtr< const Vector > > | d_cache_ |
Inequality constraint residual (reformulated as equalities with slacks. | |
CachedResults< SmartPtr< const Matrix > > | jac_d_cache_ |
Jacobian Matrix for inequality constraints (current iteration). | |
CachedResults< SmartPtr< const SymMatrix > > | h_cache_ |
Hessian of the lagrangian (current iteration). | |
CachedResults< SmartPtr< const Vector > > | unscaled_x_cache_ |
Unscaled version of x vector. | |
SmartPtr< const Vector > | x_L_ |
Lower bounds on x. | |
SmartPtr< const Matrix > | Px_L_ |
Permutation matrix (x_L_ -> x). | |
SmartPtr< const Vector > | x_U_ |
Upper bounds on x. | |
SmartPtr< const Matrix > | 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. | |
SmartPtr< const Vector > | orig_x_L_ |
Original unmodified lower bounds on x. | |
SmartPtr< const Vector > | orig_x_U_ |
Original unmodified upper bounds on x. | |
Algorithmic parameters | |
Number | bound_relax_factor_ |
relaxation factor for the bounds | |
bool | honor_original_bounds_ |
Flag indicating whether the primal variables should be projected back into original bounds are optimization. | |
bool | warm_start_same_structure_ |
Flag indicating whether the TNLP with identical structure has already been solved before. | |
HessianApproximationType | hessian_approximation_ |
Flag indicating what Hessian information is to be used. | |
HessianApproximationSpace | hessian_approximation_space_ |
Flag indicating in which space Hessian is to be approximated. | |
bool | check_derivatives_for_naninf_ |
Flag indicating whether it is desired to check if there are Nan or Inf entries in first and second derivative matrices. | |
bool | jac_c_constant_ |
Flag indicating if we need to ask for equality constraint Jacobians only once. | |
bool | jac_d_constant_ |
Flag indicating if we need to ask for inequality constraint Jacobians only once. | |
bool | hessian_constant_ |
Flag indicating if we need to ask for Hessian only once. | |
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_ |
Timing statistics for the function evaluations. | |
TimedTask | f_eval_time_ |
TimedTask | grad_f_eval_time_ |
TimedTask | c_eval_time_ |
TimedTask | jac_c_eval_time_ |
TimedTask | d_eval_time_ |
TimedTask | jac_d_eval_time_ |
TimedTask | h_eval_time_ |
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 37 of file IpOrigIpoptNLP.hpp.
Ipopt::OrigIpoptNLP::OrigIpoptNLP | ( | const SmartPtr< const Journalist > & | jnlst, | |
const SmartPtr< NLP > & | nlp, | |||
const SmartPtr< NLPScalingObject > & | nlp_scaling | |||
) |
Default destructor.
virtual Ipopt::OrigIpoptNLP::~OrigIpoptNLP | ( | ) | [virtual] |
Default destructor.
Ipopt::OrigIpoptNLP::OrigIpoptNLP | ( | ) | [private] |
Default Constructor.
Ipopt::OrigIpoptNLP::OrigIpoptNLP | ( | const OrigIpoptNLP & | ) | [private] |
Copy Constructor.
virtual bool Ipopt::OrigIpoptNLP::Initialize | ( | const Journalist & | jnlst, | |
const OptionsList & | options, | |||
const std::string & | prefix | |||
) | [virtual] |
Initialize - overloaded from IpoptNLP.
Reimplemented from Ipopt::IpoptNLP.
virtual bool Ipopt::OrigIpoptNLP::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::OrigIpoptNLP::GetWarmStartIterate | ( | IteratesVector & | warm_start_iterate | ) | [inline, virtual] |
Method accessing the GetWarmStartIterate of the NLP.
Implements Ipopt::IpoptNLP.
Definition at line 72 of file IpOrigIpoptNLP.hpp.
Objective value (depending in mu) - incorrect version for OrigIpoptNLP.
Implements Ipopt::IpoptNLP.
Gradient of the objective.
Implements Ipopt::IpoptNLP.
virtual SmartPtr<const Vector> Ipopt::OrigIpoptNLP::grad_f | ( | const Vector & | x, | |
Number | mu | |||
) | [virtual] |
Gradient of the objective (depending in mu) - incorrect version for OrigIpoptNLP.
Implements Ipopt::IpoptNLP.
Equality constraint residual.
Implements Ipopt::IpoptNLP.
Jacobian Matrix for equality constraints.
Implements Ipopt::IpoptNLP.
Inequality constraint residual (reformulated as equalities with slacks.
Implements Ipopt::IpoptNLP.
Jacobian Matrix for inequality constraints.
Implements Ipopt::IpoptNLP.
virtual SmartPtr<const SymMatrix> Ipopt::OrigIpoptNLP::h | ( | const Vector & | x, | |
Number | obj_factor, | |||
const Vector & | yc, | |||
const Vector & | yd | |||
) | [virtual] |
Hessian of the Lagrangian.
Implements Ipopt::IpoptNLP.
virtual SmartPtr<const SymMatrix> Ipopt::OrigIpoptNLP::h | ( | const Vector & | x, | |
Number | obj_factor, | |||
const Vector & | yc, | |||
const Vector & | yd, | |||
Number | mu | |||
) | [virtual] |
Hessian of the Lagrangian (depending in mu) - incorrect version for OrigIpoptNLP.
Implements Ipopt::IpoptNLP.
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.
Permutation matrix (x_L_ -> x).
Implements Ipopt::IpoptNLP.
Definition at line 132 of file IpOrigIpoptNLP.hpp.
Permutation matrix (x_U_ -> x.
Implements Ipopt::IpoptNLP.
Definition at line 144 of file IpOrigIpoptNLP.hpp.
Permutation matrix (d_L_ -> d).
Implements Ipopt::IpoptNLP.
Definition at line 156 of file IpOrigIpoptNLP.hpp.
Permutation matrix (d_U_ -> d.
Implements Ipopt::IpoptNLP.
Definition at line 168 of file IpOrigIpoptNLP.hpp.
virtual SmartPtr<const SymMatrixSpace> Ipopt::OrigIpoptNLP::HessianMatrixSpace | ( | ) | const [inline, virtual] |
Accessor methods for model data.
Objective value
Implements Ipopt::IpoptNLP.
Definition at line 173 of file IpOrigIpoptNLP.hpp.
virtual void Ipopt::OrigIpoptNLP::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::OrigIpoptNLP::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.
virtual Index Ipopt::OrigIpoptNLP::f_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 204 of file IpOrigIpoptNLP.hpp.
virtual Index Ipopt::OrigIpoptNLP::grad_f_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 208 of file IpOrigIpoptNLP.hpp.
virtual Index Ipopt::OrigIpoptNLP::c_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 212 of file IpOrigIpoptNLP.hpp.
virtual Index Ipopt::OrigIpoptNLP::jac_c_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 216 of file IpOrigIpoptNLP.hpp.
virtual Index Ipopt::OrigIpoptNLP::d_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 220 of file IpOrigIpoptNLP.hpp.
virtual Index Ipopt::OrigIpoptNLP::jac_d_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 224 of file IpOrigIpoptNLP.hpp.
virtual Index Ipopt::OrigIpoptNLP::h_evals | ( | ) | const [inline, virtual] |
Implements Ipopt::IpoptNLP.
Definition at line 228 of file IpOrigIpoptNLP.hpp.
void Ipopt::OrigIpoptNLP::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 | |||
) | [virtual] |
Solution Routines - overloaded from IpoptNLP.
Implements Ipopt::IpoptNLP.
bool Ipopt::OrigIpoptNLP::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] |
Solution Routines - overloaded from IpoptNLP.
Implements Ipopt::IpoptNLP.
static void Ipopt::OrigIpoptNLP::RegisterOptions | ( | SmartPtr< RegisteredOptions > | roptions | ) | [static] |
Called by IpoptType to register the options.
Accessor method to the underlying NLP.
Definition at line 261 of file IpOrigIpoptNLP.hpp.
void Ipopt::OrigIpoptNLP::ResetTimes | ( | ) |
Reset the timing statistics.
void Ipopt::OrigIpoptNLP::PrintTimingStatistics | ( | Journalist & | jnlst, | |
EJournalLevel | level, | |||
EJournalCategory | category | |||
) | const |
Number Ipopt::OrigIpoptNLP::TotalFunctionEvaluationCpuTime | ( | ) | const |
Number Ipopt::OrigIpoptNLP::TotalFunctionEvaluationSysTime | ( | ) | const |
Number Ipopt::OrigIpoptNLP::TotalFunctionEvaluationWallclockTime | ( | ) | const |
void Ipopt::OrigIpoptNLP::operator= | ( | const OrigIpoptNLP & | ) | [private] |
Overloaded Equals Operator.
relax the bounds by a relative move of relax_bound_factor.
Here, relax_bound_factor should be negative (or zero) for lower bounds, and positive (or zero) for upper bounds.
Method for getting the unscaled version of the x vector.
SmartPtr<const Journalist> Ipopt::OrigIpoptNLP::jnlst_ [private] |
journalist
Definition at line 279 of file IpOrigIpoptNLP.hpp.
SmartPtr<NLP> Ipopt::OrigIpoptNLP::nlp_ [private] |
Pointer to the NLP.
Definition at line 282 of file IpOrigIpoptNLP.hpp.
SmartPtr<const VectorSpace> Ipopt::OrigIpoptNLP::x_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 286 of file IpOrigIpoptNLP.hpp.
SmartPtr<const VectorSpace> Ipopt::OrigIpoptNLP::c_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 287 of file IpOrigIpoptNLP.hpp.
SmartPtr<const VectorSpace> Ipopt::OrigIpoptNLP::d_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 288 of file IpOrigIpoptNLP.hpp.
SmartPtr<const VectorSpace> Ipopt::OrigIpoptNLP::x_l_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 289 of file IpOrigIpoptNLP.hpp.
SmartPtr<const MatrixSpace> Ipopt::OrigIpoptNLP::px_l_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 290 of file IpOrigIpoptNLP.hpp.
SmartPtr<const VectorSpace> Ipopt::OrigIpoptNLP::x_u_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 291 of file IpOrigIpoptNLP.hpp.
SmartPtr<const MatrixSpace> Ipopt::OrigIpoptNLP::px_u_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 292 of file IpOrigIpoptNLP.hpp.
SmartPtr<const VectorSpace> Ipopt::OrigIpoptNLP::d_l_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 293 of file IpOrigIpoptNLP.hpp.
SmartPtr<const MatrixSpace> Ipopt::OrigIpoptNLP::pd_l_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 294 of file IpOrigIpoptNLP.hpp.
SmartPtr<const VectorSpace> Ipopt::OrigIpoptNLP::d_u_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 295 of file IpOrigIpoptNLP.hpp.
SmartPtr<const MatrixSpace> Ipopt::OrigIpoptNLP::pd_u_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 296 of file IpOrigIpoptNLP.hpp.
SmartPtr<const MatrixSpace> Ipopt::OrigIpoptNLP::jac_c_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 297 of file IpOrigIpoptNLP.hpp.
SmartPtr<const MatrixSpace> Ipopt::OrigIpoptNLP::jac_d_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 298 of file IpOrigIpoptNLP.hpp.
SmartPtr<const SymMatrixSpace> Ipopt::OrigIpoptNLP::h_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 299 of file IpOrigIpoptNLP.hpp.
SmartPtr<const MatrixSpace> Ipopt::OrigIpoptNLP::scaled_jac_c_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 301 of file IpOrigIpoptNLP.hpp.
SmartPtr<const MatrixSpace> Ipopt::OrigIpoptNLP::scaled_jac_d_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 302 of file IpOrigIpoptNLP.hpp.
SmartPtr<const SymMatrixSpace> Ipopt::OrigIpoptNLP::scaled_h_space_ [private] |
Necessary Vector/Matrix spaces.
Definition at line 303 of file IpOrigIpoptNLP.hpp.
CachedResults<Number> Ipopt::OrigIpoptNLP::f_cache_ [private] |
Objective function.
Definition at line 308 of file IpOrigIpoptNLP.hpp.
CachedResults<SmartPtr<const Vector> > Ipopt::OrigIpoptNLP::grad_f_cache_ [private] |
Gradient of the objective function.
Definition at line 311 of file IpOrigIpoptNLP.hpp.
CachedResults<SmartPtr<const Vector> > Ipopt::OrigIpoptNLP::c_cache_ [private] |
Equality constraint residuals.
Definition at line 314 of file IpOrigIpoptNLP.hpp.
CachedResults<SmartPtr<const Matrix> > Ipopt::OrigIpoptNLP::jac_c_cache_ [private] |
Jacobian Matrix for equality constraints (current iteration).
Definition at line 318 of file IpOrigIpoptNLP.hpp.
CachedResults<SmartPtr<const Vector> > Ipopt::OrigIpoptNLP::d_cache_ [private] |
Inequality constraint residual (reformulated as equalities with slacks.
Definition at line 322 of file IpOrigIpoptNLP.hpp.
CachedResults<SmartPtr<const Matrix> > Ipopt::OrigIpoptNLP::jac_d_cache_ [private] |
Jacobian Matrix for inequality constraints (current iteration).
Definition at line 326 of file IpOrigIpoptNLP.hpp.
CachedResults<SmartPtr<const SymMatrix> > Ipopt::OrigIpoptNLP::h_cache_ [private] |
Hessian of the lagrangian (current iteration).
Definition at line 330 of file IpOrigIpoptNLP.hpp.
CachedResults<SmartPtr<const Vector> > Ipopt::OrigIpoptNLP::unscaled_x_cache_ [private] |
Unscaled version of x vector.
Definition at line 333 of file IpOrigIpoptNLP.hpp.
SmartPtr<const Vector> Ipopt::OrigIpoptNLP::x_L_ [private] |
Lower bounds on x.
Definition at line 336 of file IpOrigIpoptNLP.hpp.
SmartPtr<const Matrix> Ipopt::OrigIpoptNLP::Px_L_ [private] |
Permutation matrix (x_L_ -> x).
Definition at line 339 of file IpOrigIpoptNLP.hpp.
SmartPtr<const Vector> Ipopt::OrigIpoptNLP::x_U_ [private] |
Upper bounds on x.
Definition at line 342 of file IpOrigIpoptNLP.hpp.
SmartPtr<const Matrix> Ipopt::OrigIpoptNLP::Px_U_ [private] |
Permutation matrix (x_U_ -> x.
Definition at line 345 of file IpOrigIpoptNLP.hpp.
SmartPtr<const Vector> Ipopt::OrigIpoptNLP::d_L_ [private] |
Lower bounds on d.
Definition at line 348 of file IpOrigIpoptNLP.hpp.
SmartPtr<const Matrix> Ipopt::OrigIpoptNLP::Pd_L_ [private] |
Permutation matrix (d_L_ -> d).
Definition at line 351 of file IpOrigIpoptNLP.hpp.
SmartPtr<const Vector> Ipopt::OrigIpoptNLP::d_U_ [private] |
Upper bounds on d.
Definition at line 354 of file IpOrigIpoptNLP.hpp.
SmartPtr<const Matrix> Ipopt::OrigIpoptNLP::Pd_U_ [private] |
Permutation matrix (d_U_ -> d.
Definition at line 357 of file IpOrigIpoptNLP.hpp.
SmartPtr<const Vector> Ipopt::OrigIpoptNLP::orig_x_L_ [private] |
Original unmodified lower bounds on x.
Definition at line 360 of file IpOrigIpoptNLP.hpp.
SmartPtr<const Vector> Ipopt::OrigIpoptNLP::orig_x_U_ [private] |
Original unmodified upper bounds on x.
Definition at line 363 of file IpOrigIpoptNLP.hpp.
relaxation factor for the bounds
Definition at line 398 of file IpOrigIpoptNLP.hpp.
bool Ipopt::OrigIpoptNLP::honor_original_bounds_ [private] |
Flag indicating whether the primal variables should be projected back into original bounds are optimization.
Definition at line 401 of file IpOrigIpoptNLP.hpp.
bool Ipopt::OrigIpoptNLP::warm_start_same_structure_ [private] |
Flag indicating whether the TNLP with identical structure has already been solved before.
Definition at line 404 of file IpOrigIpoptNLP.hpp.
Flag indicating what Hessian information is to be used.
Definition at line 406 of file IpOrigIpoptNLP.hpp.
Flag indicating in which space Hessian is to be approximated.
Definition at line 408 of file IpOrigIpoptNLP.hpp.
bool Ipopt::OrigIpoptNLP::check_derivatives_for_naninf_ [private] |
Flag indicating whether it is desired to check if there are Nan or Inf entries in first and second derivative matrices.
Definition at line 411 of file IpOrigIpoptNLP.hpp.
bool Ipopt::OrigIpoptNLP::jac_c_constant_ [private] |
Flag indicating if we need to ask for equality constraint Jacobians only once.
Definition at line 414 of file IpOrigIpoptNLP.hpp.
bool Ipopt::OrigIpoptNLP::jac_d_constant_ [private] |
Flag indicating if we need to ask for inequality constraint Jacobians only once.
Definition at line 417 of file IpOrigIpoptNLP.hpp.
bool Ipopt::OrigIpoptNLP::hessian_constant_ [private] |
Flag indicating if we need to ask for Hessian only once.
Definition at line 419 of file IpOrigIpoptNLP.hpp.
Index Ipopt::OrigIpoptNLP::f_evals_ [private] |
Definition at line 424 of file IpOrigIpoptNLP.hpp.
Index Ipopt::OrigIpoptNLP::grad_f_evals_ [private] |
Definition at line 425 of file IpOrigIpoptNLP.hpp.
Index Ipopt::OrigIpoptNLP::c_evals_ [private] |
Definition at line 426 of file IpOrigIpoptNLP.hpp.
Index Ipopt::OrigIpoptNLP::jac_c_evals_ [private] |
Definition at line 427 of file IpOrigIpoptNLP.hpp.
Index Ipopt::OrigIpoptNLP::d_evals_ [private] |
Definition at line 428 of file IpOrigIpoptNLP.hpp.
Index Ipopt::OrigIpoptNLP::jac_d_evals_ [private] |
Definition at line 429 of file IpOrigIpoptNLP.hpp.
Index Ipopt::OrigIpoptNLP::h_evals_ [private] |
Definition at line 430 of file IpOrigIpoptNLP.hpp.
bool Ipopt::OrigIpoptNLP::initialized_ [private] |
Flag indicating if initialization method has been called.
Definition at line 434 of file IpOrigIpoptNLP.hpp.
TimedTask Ipopt::OrigIpoptNLP::f_eval_time_ [private] |
Definition at line 438 of file IpOrigIpoptNLP.hpp.
Definition at line 439 of file IpOrigIpoptNLP.hpp.
TimedTask Ipopt::OrigIpoptNLP::c_eval_time_ [private] |
Definition at line 440 of file IpOrigIpoptNLP.hpp.
Definition at line 441 of file IpOrigIpoptNLP.hpp.
TimedTask Ipopt::OrigIpoptNLP::d_eval_time_ [private] |
Definition at line 442 of file IpOrigIpoptNLP.hpp.
Definition at line 443 of file IpOrigIpoptNLP.hpp.
TimedTask Ipopt::OrigIpoptNLP::h_eval_time_ [private] |
Definition at line 444 of file IpOrigIpoptNLP.hpp.