Ipopt::SolveStatistics Class Reference

This class collects statistics about an optimziation run, such as iteration count, final infeasibilities etc. More...

#include <IpSolveStatistics.hpp>

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List of all members.

Public Member Functions

Constructors/Destructors



 SolveStatistics (const SmartPtr< IpoptNLP > &ip_nlp, const SmartPtr< IpoptData > &ip_data, const SmartPtr< IpoptCalculatedQuantities > &ip_cq)
 Default constructor.
virtual ~SolveStatistics ()
 Default destructor.
Accessor methods for retrieving different kind of solver

statistics information



Index IterationCount () const
 Iteration counts.
Number TotalCPUTime () const
 Total CPU time, including function evaluations.
void NumberOfEvaluations (Index &num_obj_evals, Index &num_constr_evals, Index &num_obj_grad_evals, Index &num_constr_jac_evals, Index &num_hess_evals) const
 Number of NLP function evaluations.
void Infeasibilities (Number &dual_inf, Number &constr_viol, Number &complementarity, Number &kkt_error) const
 Unscaled solution infeasibilities.
void ScaledInfeasibilities (Number &scaled_dual_inf, Number &scaled_constr_viol, Number &scaled_complementarity, Number &scaled_kkt_error) const
 Scaled solution infeasibilities.
Number FinalObjective () const
 Final value of objective function.
Number FinalScaledObjective () const
 Final scaled value of objective function.

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.



 SolveStatistics ()
 Default Constructor.
 SolveStatistics (const SolveStatistics &)
 Copy Constructor.
void operator= (const SolveStatistics &)
 Overloaded Equals Operator.

Private Attributes

Fields for storing the statistics data



Index num_iters_
 Number of iterations.
Number total_cpu_time_
 Number of iterations.
Index num_obj_evals_
 Number of objective function evaluations.
Index num_constr_evals_
 Number of constraints evaluations (max of equality and inequality).
Index num_obj_grad_evals_
 Number of objective gradient evaluations.
Index num_constr_jac_evals_
 Number of constraint Jacobian evaluations.
Index num_hess_evals_
 Number of Lagrangian Hessian evaluations.
Number scaled_obj_val_
 Final scaled value of objective function.
Number obj_val_
 Final unscaled value of objective function.
Number scaled_dual_inf_
 Final scaled dual infeasibility (max-norm).
Number dual_inf_
 Final unscaled dual infeasibility (max-norm).
Number scaled_constr_viol_
 Final scaled constraint violation (max-norm).
Number constr_viol_
 Final unscaled constraint violation (max-norm).
Number scaled_compl_
 Final scaled complementarity error (max-norm).
Number compl_
 Final unscaled complementarity error (max-norm).
Number scaled_kkt_error_
 Final overall scaled KKT error (max-norm).
Number kkt_error_
 Final overall unscaled KKT error (max-norm).

Detailed Description

This class collects statistics about an optimziation run, such as iteration count, final infeasibilities etc.

It is meant to provide such information to a user of Ipopt during the finalize_solution call.

Definition at line 27 of file IpSolveStatistics.hpp.


Constructor & Destructor Documentation

Ipopt::SolveStatistics::SolveStatistics ( const SmartPtr< IpoptNLP > &  ip_nlp,
const SmartPtr< IpoptData > &  ip_data,
const SmartPtr< IpoptCalculatedQuantities > &  ip_cq 
)

Default constructor.

It takes in those collecting Ipopt objects that can provide the statistics information. Those statistics are retrieved at the time of the constructor call.

virtual Ipopt::SolveStatistics::~SolveStatistics (  )  [inline, virtual]

Default destructor.

Definition at line 41 of file IpSolveStatistics.hpp.

Ipopt::SolveStatistics::SolveStatistics (  )  [private]

Default Constructor.

Ipopt::SolveStatistics::SolveStatistics ( const SolveStatistics  )  [private]

Copy Constructor.


Member Function Documentation

Index Ipopt::SolveStatistics::IterationCount (  )  const

Iteration counts.

Number Ipopt::SolveStatistics::TotalCPUTime (  )  const

Total CPU time, including function evaluations.

void Ipopt::SolveStatistics::NumberOfEvaluations ( Index num_obj_evals,
Index num_constr_evals,
Index num_obj_grad_evals,
Index num_constr_jac_evals,
Index num_hess_evals 
) const

Number of NLP function evaluations.

void Ipopt::SolveStatistics::Infeasibilities ( Number dual_inf,
Number constr_viol,
Number complementarity,
Number kkt_error 
) const

Unscaled solution infeasibilities.

void Ipopt::SolveStatistics::ScaledInfeasibilities ( Number scaled_dual_inf,
Number scaled_constr_viol,
Number scaled_complementarity,
Number scaled_kkt_error 
) const

Scaled solution infeasibilities.

Number Ipopt::SolveStatistics::FinalObjective (  )  const

Final value of objective function.

Number Ipopt::SolveStatistics::FinalScaledObjective (  )  const

Final scaled value of objective function.

void Ipopt::SolveStatistics::operator= ( const SolveStatistics  )  [private]

Overloaded Equals Operator.


Member Data Documentation

Number of iterations.

Definition at line 96 of file IpSolveStatistics.hpp.

Number of iterations.

Definition at line 98 of file IpSolveStatistics.hpp.

Number of objective function evaluations.

Definition at line 100 of file IpSolveStatistics.hpp.

Number of constraints evaluations (max of equality and inequality).

Definition at line 103 of file IpSolveStatistics.hpp.

Number of objective gradient evaluations.

Definition at line 105 of file IpSolveStatistics.hpp.

Number of constraint Jacobian evaluations.

Definition at line 107 of file IpSolveStatistics.hpp.

Number of Lagrangian Hessian evaluations.

Definition at line 109 of file IpSolveStatistics.hpp.

Final scaled value of objective function.

Definition at line 112 of file IpSolveStatistics.hpp.

Final unscaled value of objective function.

Definition at line 114 of file IpSolveStatistics.hpp.

Final scaled dual infeasibility (max-norm).

Definition at line 116 of file IpSolveStatistics.hpp.

Final unscaled dual infeasibility (max-norm).

Definition at line 118 of file IpSolveStatistics.hpp.

Final scaled constraint violation (max-norm).

Definition at line 120 of file IpSolveStatistics.hpp.

Final unscaled constraint violation (max-norm).

Definition at line 122 of file IpSolveStatistics.hpp.

Final scaled complementarity error (max-norm).

Definition at line 124 of file IpSolveStatistics.hpp.

Final unscaled complementarity error (max-norm).

Definition at line 126 of file IpSolveStatistics.hpp.

Final overall scaled KKT error (max-norm).

Definition at line 128 of file IpSolveStatistics.hpp.

Final overall unscaled KKT error (max-norm).

Definition at line 130 of file IpSolveStatistics.hpp.


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

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