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

#include <IpRestoIpoptNLP.hpp>

Inheritance diagram for Ipopt::RestoIpoptNLP:

Public Member Functions
virtual bool	Initialize (const Journalist &jnlst, const OptionsList &options, const std::string &prefix)
	Initialization method. More...

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. More...

virtual bool	GetWarmStartIterate (IteratesVector &)
	Method accessing the GetWarmStartIterate of the NLP. More...

void	FinalizeSolution (SolverReturn, const Vector &, const Vector &, const Vector &, const Vector &, const Vector &, const Vector &, const Vector &, Number, const IpoptData , IpoptCalculatedQuantities )

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. More...

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. More...

bool	IntermediateCallBack (AlgorithmMode mode, Index iter, Number obj_value, Number inf_pr, Number inf_du, Number mu, Number d_norm, Number regularization_size, Number alpha_du, Number alpha_pr, Index ls_trials, SmartPtr< const IpoptData > ip_data, SmartPtr< IpoptCalculatedQuantities > ip_cq)
	User callback method. More...

Number	Rho () const
	Accessor Method for obtaining the Rho penalization factor for the ell_1 norm. More...

Number	Eta (Number mu) const
	Method to calculate eta, the factor for the regularization term. More...

SmartPtr< const Vector >	DR_x () const
	Method returning the scaling factors for the 2-norm penalization term. More...

Constructors/Destructors
	RestoIpoptNLP (IpoptNLP &orig_ip_nlp, IpoptData &orig_ip_data, IpoptCalculatedQuantities &orig_ip_cq)

	~RestoIpoptNLP ()
	Destructor. More...


virtual bool	objective_depends_on_mu () const
	Accessor methods for model data. More...

virtual Number	f (const Vector &x)
	Objective value (incorrect version for restoration phase) More...

virtual Number	f (const Vector &x, Number mu)
	Objective value. More...

virtual SmartPtr< const Vector >	grad_f (const Vector &x)
	Gradient of the objective (incorrect version for restoration phase) More...

virtual SmartPtr< const Vector >	grad_f (const Vector &x, Number mu)
	Gradient of the objective. More...

virtual SmartPtr< const Vector >	c (const Vector &x)
	Equality constraint residual. More...

virtual SmartPtr< const Matrix >	jac_c (const Vector &x)
	Jacobian Matrix for equality constraints. More...

virtual SmartPtr< const Vector >	d (const Vector &x)
	Inequality constraint residual (reformulated as equalities with slacks. More...

virtual SmartPtr< const Matrix >	jac_d (const Vector &x)
	Jacobian Matrix for inequality constraints. More...

virtual SmartPtr< const SymMatrix >	h (const Vector &x, Number obj_factor, const Vector &yc, const Vector &yd)
	Hessian of the Lagrangian (incorrect version for restoration phase) More...

virtual SmartPtr< const SymMatrix >	h (const Vector &x, Number obj_factor, const Vector &yc, const Vector &yd, Number mu)
	Hessian of the Lagrangian. More...

virtual SmartPtr< const SymMatrix >	uninitialized_h ()
	Provides a Hessian matrix from the correct matrix space with uninitialized values. More...

virtual SmartPtr< const Vector >	x_L () const
	Lower bounds on x. More...

virtual SmartPtr< const Matrix >	Px_L () const
	Permutation matrix (x_L_ -> x) More...

virtual SmartPtr< const Vector >	x_U () const
	Upper bounds on x. More...

virtual SmartPtr< const Matrix >	Px_U () const
	Permutation matrix (x_U_ -> x. More...

virtual SmartPtr< const Vector >	d_L () const
	Lower bounds on d. More...

virtual SmartPtr< const Matrix >	Pd_L () const
	Permutation matrix (d_L_ -> d) More...

virtual SmartPtr< const Vector >	d_U () const
	Upper bounds on d. More...

virtual SmartPtr< const Matrix >	Pd_U () const
	Permutation matrix (d_U_ -> d. More...

virtual SmartPtr< const SymMatrixSpace >	HessianMatrixSpace () const
	Accessor method to obtain the MatrixSpace for the Hessian matrix (or it's approximation) More...

virtual SmartPtr< const VectorSpace >	x_space () const
	x_space More...

Accessor method for the information of the original NLP.
These methods are not overloaded from IpoptNLP.
IpoptNLP &	OrigIpNLP () const

IpoptData &	OrigIpData () const

IpoptCalculatedQuantities &	OrigIpCq () const

Counters for the number of function evaluations.
virtual Index	f_evals () const

virtual Index	grad_f_evals () const

virtual Index	c_evals () const

virtual Index	jac_c_evals () const

virtual Index	d_evals () const

virtual Index	jac_d_evals () const

virtual Index	h_evals () const

Public Member Functions inherited from Ipopt::IpoptNLP
SmartPtr< NLPScalingObject >	NLP_scaling () const
	Returns the scaling strategy object. More...

	IpoptNLP (const SmartPtr< NLPScalingObject > nlp_scaling)

virtual	~IpoptNLP ()
	Destructor. More...

	DECLARE_STD_EXCEPTION (Eval_Error)
	thrown if there is any error evaluating values from the nlp More...

Public Member Functions inherited from Ipopt::ReferencedObject
	ReferencedObject ()

virtual	~ReferencedObject ()

Index	ReferenceCount () const

void	AddRef (const Referencer *referencer) const

void	ReleaseRef (const Referencer *referencer) const

Static Public Member Functions
static void	RegisterOptions (SmartPtr< RegisteredOptions > roptions)

Private Member Functions
Default Compiler Generated Methods
(Hidden to avoid implicit creation/calling). These methods are not implemented and we do not want the compiler to implement them for us, so we declare them private and do not define them. This ensures that they will not be implicitly created/called.
	RestoIpoptNLP ()
	Default Constructor. More...

	RestoIpoptNLP (const RestoIpoptNLP &)
	Copy Constructor. More...

void	operator= (const RestoIpoptNLP &)
	Default Assignment Operator. More...

Private Attributes
bool	initialized_
	Flag indicating if initialization method has been called. More...

Pointers for the original NLP information.
SmartPtr< IpoptNLP >	orig_ip_nlp_
	Pointer to the original IpoptNLP. More...

SmartPtr< IpoptData >	orig_ip_data_
	Pointer to the original IpoptData. More...

SmartPtr < IpoptCalculatedQuantities >	orig_ip_cq_
	Pointer to the original IpoptCalculatedQuantities. More...


SmartPtr< CompoundVectorSpace >	x_space_
	Necessary Vector/Matrix spaces. More...

SmartPtr< CompoundVectorSpace >	c_space_

SmartPtr< CompoundVectorSpace >	d_space_

SmartPtr< CompoundVectorSpace >	x_l_space_

SmartPtr< CompoundMatrixSpace >	px_l_space_

SmartPtr< CompoundVectorSpace >	x_u_space_

SmartPtr< CompoundMatrixSpace >	px_u_space_

SmartPtr< CompoundVectorSpace >	d_l_space_

SmartPtr< CompoundMatrixSpace >	pd_l_space_

SmartPtr< CompoundVectorSpace >	d_u_space_

SmartPtr< CompoundMatrixSpace >	pd_u_space_

SmartPtr< CompoundMatrixSpace >	jac_c_space_

SmartPtr< CompoundMatrixSpace >	jac_d_space_

SmartPtr< CompoundSymMatrixSpace >	h_space_

Storage for Model Quantities
SmartPtr< CompoundVector >	x_L_
	Lower bounds on x. More...

SmartPtr< CompoundMatrix >	Px_L_
	Permutation matrix (x_L_ -> x) More...

SmartPtr< CompoundVector >	x_U_
	Upper bounds on x. More...

SmartPtr< CompoundMatrix >	Px_U_
	Permutation matrix (x_U_ -> x) More...

SmartPtr< CompoundVector >	d_L_
	Lower bounds on d. More...

SmartPtr< CompoundMatrix >	Pd_L_
	Permutation matrix (d_L_ -> d) More...

SmartPtr< CompoundVector >	d_U_
	Upper bounds on d. More...

SmartPtr< CompoundMatrix >	Pd_U_
	Permutation matrix (d_U_ -> d. More...

Values particular to the restoration phase problem statement
Number	rho_
	Penalty parameter for the $l_1$ norm. More...

Number	eta_factor_
	scaling factor for eta calculation More...

Number	eta_mu_exponent_
	exponent for mu in eta calculation More...

SmartPtr< Vector >	dr_x_
	Scaling factors for the $x$ part of the regularization term. More...

SmartPtr< DiagMatrix >	DR_x_

SmartPtr< Vector >	x_ref_
	$x$ part of the reference point in the regularization term More...

Algorithmic parameter
bool	evaluate_orig_obj_at_resto_trial_
	Flag indicating if evaluation of the objective should be performed for every restoration phase objective function evaluation. More...

HessianApproximationType	hessian_approximation_
	Flag indicating how Hessian information is obtained. More...

Counters for the function evaluations
Index	f_evals_

Index	grad_f_evals_

Index	c_evals_

Index	jac_c_evals_

Index	d_evals_

Index	jac_d_evals_

Index	h_evals_

Detailed Description

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

This class takes care of storing the calculated model results, handles caching, and (some day) takes care of addition of slacks.

Definition at line 31 of file IpRestoIpoptNLP.hpp.

Constructor & Destructor Documentation

Ipopt::RestoIpoptNLP::RestoIpoptNLP	(	IpoptNLP &	orig_ip_nlp,
		IpoptData &	orig_ip_data,
		IpoptCalculatedQuantities &	orig_ip_cq
	)

Ipopt::RestoIpoptNLP::~RestoIpoptNLP ( )

Destructor.

Ipopt::RestoIpoptNLP::RestoIpoptNLP ( )

private

Default Constructor.

Ipopt::RestoIpoptNLP::RestoIpoptNLP ( const RestoIpoptNLP & )

private

Copy Constructor.

Member Function Documentation

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

virtual

Initialization method.

Set the internal options and initialize internal data structures.

Reimplemented from Ipopt::IpoptNLP.

virtual bool Ipopt::RestoIpoptNLP::InitializeStructures	(	SmartPtr< Vector > &	x,
		bool	init_x,
		SmartPtr< Vector > &	y_c,
		bool	init_y_c,
		SmartPtr< Vector > &	y_d,
		bool	init_y_d,
		SmartPtr< Vector > &	z_L,
		bool	init_z_L,
		SmartPtr< Vector > &	z_U,
		bool	init_z_U,
		SmartPtr< Vector > &	v_L,
		SmartPtr< Vector > &	v_U
	)

virtual

Initialize (create) structures for the iteration data.

Implements Ipopt::IpoptNLP.

virtual bool Ipopt::RestoIpoptNLP::GetWarmStartIterate ( IteratesVector & )

inlinevirtual

Method accessing the GetWarmStartIterate of the NLP.

Implements Ipopt::IpoptNLP.

Definition at line 68 of file IpRestoIpoptNLP.hpp.

void Ipopt::RestoIpoptNLP::FinalizeSolution	(	SolverReturn	,
		const Vector &	,
		const Vector &	,
		const Vector &	,
		const Vector &	,
		const Vector &	,
		const Vector &	,
		const Vector &	,
		Number	,
		const IpoptData *	,
		IpoptCalculatedQuantities *
	)

inlinevirtual

Implements Ipopt::IpoptNLP.

Definition at line 75 of file IpRestoIpoptNLP.hpp.

virtual bool Ipopt::RestoIpoptNLP::objective_depends_on_mu ( ) const

inlinevirtual

Accessor methods for model data.

Method for telling IpoptCalculatedQuantities that the restoration phase objective function depends on the barrier parameter

Reimplemented from Ipopt::IpoptNLP.

Definition at line 96 of file IpRestoIpoptNLP.hpp.

virtual Number Ipopt::RestoIpoptNLP::f ( const Vector & x )

virtual

Objective value (incorrect version for restoration phase)

Implements Ipopt::IpoptNLP.

virtual Number Ipopt::RestoIpoptNLP::f	(	const Vector &	x,
		Number	mu
	)

virtual

Objective value.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::grad_f ( const Vector & x )

virtual

Gradient of the objective (incorrect version for restoration phase)

Implements Ipopt::IpoptNLP.

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

virtual

Gradient of the objective.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::c ( const Vector & x )

virtual

Equality constraint residual.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::jac_c ( const Vector & x )

virtual

Jacobian Matrix for equality constraints.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::d ( const Vector & x )

virtual

Inequality constraint residual (reformulated as equalities with slacks.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::jac_d ( const Vector & x )

virtual

Jacobian Matrix for inequality constraints.

Implements Ipopt::IpoptNLP.

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

virtual

Hessian of the Lagrangian (incorrect version for restoration phase)

Implements Ipopt::IpoptNLP.

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

virtual

Hessian of the Lagrangian.

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const SymMatrix> Ipopt::RestoIpoptNLP::uninitialized_h ( )

virtual

Provides a Hessian matrix from the correct matrix space with uninitialized values.

This can be used in LeastSquareMults to obtain a "zero Hessian".

Implements Ipopt::IpoptNLP.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::x_L ( ) const

inlinevirtual

Lower bounds on x.

Implements Ipopt::IpoptNLP.

Definition at line 169 of file IpRestoIpoptNLP.hpp.

virtual SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::Px_L ( ) const

inlinevirtual

Permutation matrix (x_L_ -> x)

Implements Ipopt::IpoptNLP.

Definition at line 175 of file IpRestoIpoptNLP.hpp.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::x_U ( ) const

inlinevirtual

Upper bounds on x.

Implements Ipopt::IpoptNLP.

Definition at line 181 of file IpRestoIpoptNLP.hpp.

virtual SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::Px_U ( ) const

inlinevirtual

Permutation matrix (x_U_ -> x.

Implements Ipopt::IpoptNLP.

Definition at line 187 of file IpRestoIpoptNLP.hpp.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::d_L ( ) const

inlinevirtual

Lower bounds on d.

Implements Ipopt::IpoptNLP.

Definition at line 193 of file IpRestoIpoptNLP.hpp.

virtual SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::Pd_L ( ) const

inlinevirtual

Permutation matrix (d_L_ -> d)

Implements Ipopt::IpoptNLP.

Definition at line 199 of file IpRestoIpoptNLP.hpp.

virtual SmartPtr<const Vector> Ipopt::RestoIpoptNLP::d_U ( ) const

inlinevirtual

Upper bounds on d.

Implements Ipopt::IpoptNLP.

Definition at line 205 of file IpRestoIpoptNLP.hpp.

virtual SmartPtr<const Matrix> Ipopt::RestoIpoptNLP::Pd_U ( ) const

inlinevirtual

Permutation matrix (d_U_ -> d.

Implements Ipopt::IpoptNLP.

Definition at line 211 of file IpRestoIpoptNLP.hpp.

virtual SmartPtr<const SymMatrixSpace> Ipopt::RestoIpoptNLP::HessianMatrixSpace ( ) const

inlinevirtual

Accessor method to obtain the MatrixSpace for the Hessian matrix (or it's approximation)

Implements Ipopt::IpoptNLP.

Definition at line 216 of file IpRestoIpoptNLP.hpp.

virtual SmartPtr<const VectorSpace> Ipopt::RestoIpoptNLP::x_space ( ) const

inlinevirtual

x_space

Implements Ipopt::IpoptNLP.

Definition at line 221 of file IpRestoIpoptNLP.hpp.

virtual void Ipopt::RestoIpoptNLP::GetSpaces	(	SmartPtr< const VectorSpace > &	x_space,
		SmartPtr< const VectorSpace > &	c_space,
		SmartPtr< const VectorSpace > &	d_space,
		SmartPtr< const VectorSpace > &	x_l_space,
		SmartPtr< const MatrixSpace > &	px_l_space,
		SmartPtr< const VectorSpace > &	x_u_space,
		SmartPtr< const MatrixSpace > &	px_u_space,
		SmartPtr< const VectorSpace > &	d_l_space,
		SmartPtr< const MatrixSpace > &	pd_l_space,
		SmartPtr< const VectorSpace > &	d_u_space,
		SmartPtr< const MatrixSpace > &	pd_u_space,
		SmartPtr< const MatrixSpace > &	Jac_c_space,
		SmartPtr< const MatrixSpace > &	Jac_d_space,
		SmartPtr< const SymMatrixSpace > &	Hess_lagrangian_space
	)

virtual

Accessor method for vector/matrix spaces pointers.

Implements Ipopt::IpoptNLP.

virtual void Ipopt::RestoIpoptNLP::AdjustVariableBounds	(	const Vector &	new_x_L,
		const Vector &	new_x_U,
		const Vector &	new_d_L,
		const Vector &	new_d_U
	)

virtual

Method for adapting the variable bounds.

This is called if slacks are becoming too small.

Implements Ipopt::IpoptNLP.

bool Ipopt::RestoIpoptNLP::IntermediateCallBack	(	AlgorithmMode	mode,
		Index	iter,
		Number	obj_value,
		Number	inf_pr,
		Number	inf_du,
		Number	mu,
		Number	d_norm,
		Number	regularization_size,
		Number	alpha_du,
		Number	alpha_pr,
		Index	ls_trials,
		SmartPtr< const IpoptData >	ip_data,
		SmartPtr< IpoptCalculatedQuantities >	ip_cq
	)

virtual

User callback method.

Implements Ipopt::IpoptNLP.

IpoptNLP& Ipopt::RestoIpoptNLP::OrigIpNLP ( ) const

inline

Definition at line 276 of file IpRestoIpoptNLP.hpp.

IpoptData& Ipopt::RestoIpoptNLP::OrigIpData ( ) const

inline

Definition at line 281 of file IpRestoIpoptNLP.hpp.

IpoptCalculatedQuantities& Ipopt::RestoIpoptNLP::OrigIpCq ( ) const

inline

Definition at line 286 of file IpRestoIpoptNLP.hpp.

Number Ipopt::RestoIpoptNLP::Rho ( ) const

inline

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

Definition at line 295 of file IpRestoIpoptNLP.hpp.

virtual Index Ipopt::RestoIpoptNLP::f_evals ( ) const

inlinevirtual

Implements Ipopt::IpoptNLP.

Definition at line 302 of file IpRestoIpoptNLP.hpp.

virtual Index Ipopt::RestoIpoptNLP::grad_f_evals ( ) const

inlinevirtual

Implements Ipopt::IpoptNLP.

Definition at line 306 of file IpRestoIpoptNLP.hpp.

virtual Index Ipopt::RestoIpoptNLP::c_evals ( ) const

inlinevirtual

Implements Ipopt::IpoptNLP.

Definition at line 310 of file IpRestoIpoptNLP.hpp.

virtual Index Ipopt::RestoIpoptNLP::jac_c_evals ( ) const

inlinevirtual

Implements Ipopt::IpoptNLP.

Definition at line 314 of file IpRestoIpoptNLP.hpp.

virtual Index Ipopt::RestoIpoptNLP::d_evals ( ) const

inlinevirtual

Implements Ipopt::IpoptNLP.

Definition at line 318 of file IpRestoIpoptNLP.hpp.

virtual Index Ipopt::RestoIpoptNLP::jac_d_evals ( ) const

inlinevirtual

Implements Ipopt::IpoptNLP.

Definition at line 322 of file IpRestoIpoptNLP.hpp.

virtual Index Ipopt::RestoIpoptNLP::h_evals ( ) const

inlinevirtual

Implements Ipopt::IpoptNLP.

Definition at line 326 of file IpRestoIpoptNLP.hpp.

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

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

SmartPtr<const Vector> Ipopt::RestoIpoptNLP::DR_x ( ) const

inline

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

Definition at line 340 of file IpRestoIpoptNLP.hpp.

static void Ipopt::RestoIpoptNLP::RegisterOptions ( SmartPtr< RegisteredOptions > roptions )

static

void Ipopt::RestoIpoptNLP::operator= ( const RestoIpoptNLP & )

private

Default Assignment Operator.

Member Data Documentation

SmartPtr<IpoptNLP> Ipopt::RestoIpoptNLP::orig_ip_nlp_

private

Pointer to the original IpoptNLP.

Definition at line 353 of file IpRestoIpoptNLP.hpp.

SmartPtr<IpoptData> Ipopt::RestoIpoptNLP::orig_ip_data_

private

Pointer to the original IpoptData.

Definition at line 356 of file IpRestoIpoptNLP.hpp.

SmartPtr<IpoptCalculatedQuantities> Ipopt::RestoIpoptNLP::orig_ip_cq_

private

Pointer to the original IpoptCalculatedQuantities.

Definition at line 359 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundVectorSpace> Ipopt::RestoIpoptNLP::x_space_

private

Necessary Vector/Matrix spaces.

Definition at line 364 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundVectorSpace> Ipopt::RestoIpoptNLP::c_space_

private

Definition at line 366 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundVectorSpace> Ipopt::RestoIpoptNLP::d_space_

private

Definition at line 368 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundVectorSpace> Ipopt::RestoIpoptNLP::x_l_space_

private

Definition at line 370 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrixSpace> Ipopt::RestoIpoptNLP::px_l_space_

private

Definition at line 372 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundVectorSpace> Ipopt::RestoIpoptNLP::x_u_space_

private

Definition at line 374 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrixSpace> Ipopt::RestoIpoptNLP::px_u_space_

private

Definition at line 376 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundVectorSpace> Ipopt::RestoIpoptNLP::d_l_space_

private

Definition at line 378 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrixSpace> Ipopt::RestoIpoptNLP::pd_l_space_

private

Definition at line 380 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundVectorSpace> Ipopt::RestoIpoptNLP::d_u_space_

private

Definition at line 382 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrixSpace> Ipopt::RestoIpoptNLP::pd_u_space_

private

Definition at line 384 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrixSpace> Ipopt::RestoIpoptNLP::jac_c_space_

private

Definition at line 386 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrixSpace> Ipopt::RestoIpoptNLP::jac_d_space_

private

Definition at line 388 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundSymMatrixSpace> Ipopt::RestoIpoptNLP::h_space_

private

Definition at line 390 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundVector> Ipopt::RestoIpoptNLP::x_L_

private

Lower bounds on x.

Definition at line 396 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrix> Ipopt::RestoIpoptNLP::Px_L_

private

Permutation matrix (x_L_ -> x)

Definition at line 399 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundVector> Ipopt::RestoIpoptNLP::x_U_

private

Upper bounds on x.

Definition at line 402 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrix> Ipopt::RestoIpoptNLP::Px_U_

private

Permutation matrix (x_U_ -> x)

Definition at line 405 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundVector> Ipopt::RestoIpoptNLP::d_L_

private

Lower bounds on d.

Definition at line 408 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrix> Ipopt::RestoIpoptNLP::Pd_L_

private

Permutation matrix (d_L_ -> d)

Definition at line 411 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundVector> Ipopt::RestoIpoptNLP::d_U_

private

Upper bounds on d.

Definition at line 414 of file IpRestoIpoptNLP.hpp.

SmartPtr<CompoundMatrix> Ipopt::RestoIpoptNLP::Pd_U_

private

Permutation matrix (d_U_ -> d.

Definition at line 417 of file IpRestoIpoptNLP.hpp.

Number Ipopt::RestoIpoptNLP::rho_

private

Penalty parameter for the $l_1$ norm.

Definition at line 425 of file IpRestoIpoptNLP.hpp.

Number Ipopt::RestoIpoptNLP::eta_factor_

private

scaling factor for eta calculation

Definition at line 428 of file IpRestoIpoptNLP.hpp.

Number Ipopt::RestoIpoptNLP::eta_mu_exponent_

private

exponent for mu in eta calculation

Definition at line 431 of file IpRestoIpoptNLP.hpp.

SmartPtr<Vector> Ipopt::RestoIpoptNLP::dr_x_

private

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

Definition at line 436 of file IpRestoIpoptNLP.hpp.

SmartPtr<DiagMatrix> Ipopt::RestoIpoptNLP::DR_x_

private

Definition at line 437 of file IpRestoIpoptNLP.hpp.

SmartPtr<Vector> Ipopt::RestoIpoptNLP::x_ref_

private

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

Definition at line 440 of file IpRestoIpoptNLP.hpp.

bool Ipopt::RestoIpoptNLP::evaluate_orig_obj_at_resto_trial_

private

Flag indicating if evaluation of the objective should be performed for every restoration phase objective function evaluation.

Definition at line 472 of file IpRestoIpoptNLP.hpp.

HessianApproximationType Ipopt::RestoIpoptNLP::hessian_approximation_

private

Flag indicating how Hessian information is obtained.

Definition at line 475 of file IpRestoIpoptNLP.hpp.

bool Ipopt::RestoIpoptNLP::initialized_

private

Flag indicating if initialization method has been called.

Definition at line 479 of file IpRestoIpoptNLP.hpp.

Index Ipopt::RestoIpoptNLP::f_evals_

private

Definition at line 483 of file IpRestoIpoptNLP.hpp.

Index Ipopt::RestoIpoptNLP::grad_f_evals_

private

Definition at line 484 of file IpRestoIpoptNLP.hpp.

Index Ipopt::RestoIpoptNLP::c_evals_

private

Definition at line 485 of file IpRestoIpoptNLP.hpp.

Index Ipopt::RestoIpoptNLP::jac_c_evals_

private

Definition at line 486 of file IpRestoIpoptNLP.hpp.

Index Ipopt::RestoIpoptNLP::d_evals_

private

Definition at line 487 of file IpRestoIpoptNLP.hpp.

Index Ipopt::RestoIpoptNLP::jac_d_evals_

private

Definition at line 488 of file IpRestoIpoptNLP.hpp.

Index Ipopt::RestoIpoptNLP::h_evals_

private

Definition at line 489 of file IpRestoIpoptNLP.hpp.

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

src/Algorithm/IpRestoIpoptNLP.hpp

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