#include <ROL_Constraint_SerialSimOpt.hpp>

Inheritance diagram for ROL::ROL::AugmentedLagrangianObjective< Real >:

Public Member Functions
	AugmentedLagrangianObjective (const Ptr< Objective< Real > > &obj, const Ptr< Constraint< Real > > &con, const Real penaltyParameter, const Vector< Real > &dualOptVec, const Vector< Real > &primConVec, const Vector< Real > &dualConVec, ParameterList &parlist)
	AugmentedLagrangianObjective (const Ptr< Objective< Real > > &obj, const Ptr< Constraint< Real > > &con, const Real penaltyParameter, const Vector< Real > &dualOptVec, const Vector< Real > &primConVec, const Vector< Real > &dualConVec, const bool scaleLagrangian, const int HessianApprox)
void	update (const Vector< Real > &x, UpdateType type, int iter=-1)
	Update objective function.
void	setScaling (const Real fscale=1.0, const Real cscale=1.0)
Real	value (const Vector< Real > &x, Real &tol)
	Compute value.
void	gradient (Vector< Real > &g, const Vector< Real > &x, Real &tol)
	Compute gradient.
void	hessVec (Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
	Apply Hessian approximation to vector.
Real	getObjectiveValue (const Vector< Real > &x, Real &tol)
const Ptr< const Vector< Real > >	getObjectiveGradient (const Vector< Real > &x, Real &tol)
const Ptr< const Vector< Real > >	getConstraintVec (const Vector< Real > &x, Real &tol)
int	getNumberConstraintEvaluations (void) const
int	getNumberFunctionEvaluations (void) const
int	getNumberGradientEvaluations (void) const
void	reset (const Vector< Real > &multiplier, const Real penaltyParameter)
Public Member Functions inherited from ROL::ROL::Objective< Real >
virtual	~Objective ()
	Objective ()
virtual void	update (const Vector< Real > &x, bool flag=true, int iter=-1)
	Update objective function.
virtual Real	dirDeriv (const Vector< Real > &x, const Vector< Real > &d, Real &tol)
	Compute directional derivative.
virtual void	invHessVec (Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
	Apply inverse Hessian approximation to vector.
virtual void	precond (Vector< Real > &Pv, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
	Apply preconditioner to vector.
virtual void	prox (Vector< Real > &Pv, const Vector< Real > &v, Real t, Real &tol)
virtual std::vector< std::vector< Real > >	checkGradient (const Vector< Real > &x, const Vector< Real > &d, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1)
	Finite-difference gradient check.
virtual std::vector< std::vector< Real > >	checkGradient (const Vector< Real > &x, const Vector< Real > &g, const Vector< Real > &d, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1)
	Finite-difference gradient check.
virtual std::vector< std::vector< Real > >	checkGradient (const Vector< Real > &x, const Vector< Real > &d, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1)
	Finite-difference gradient check with specified step sizes.
virtual std::vector< std::vector< Real > >	checkGradient (const Vector< Real > &x, const Vector< Real > &g, const Vector< Real > &d, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1)
	Finite-difference gradient check with specified step sizes.
virtual std::vector< std::vector< Real > >	checkHessVec (const Vector< Real > &x, const Vector< Real > &v, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1)
	Finite-difference Hessian-applied-to-vector check.
virtual std::vector< std::vector< Real > >	checkHessVec (const Vector< Real > &x, const Vector< Real > &hv, const Vector< Real > &v, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1)
	Finite-difference Hessian-applied-to-vector check.
virtual std::vector< std::vector< Real > >	checkHessVec (const Vector< Real > &x, const Vector< Real > &v, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1)
	Finite-difference Hessian-applied-to-vector check with specified step sizes.
virtual std::vector< std::vector< Real > >	checkHessVec (const Vector< Real > &x, const Vector< Real > &hv, const Vector< Real > &v, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1)
	Finite-difference Hessian-applied-to-vector check with specified step sizes.
virtual std::vector< Real >	checkHessSym (const Vector< Real > &x, const Vector< Real > &v, const Vector< Real > &w, const bool printToStream=true, std::ostream &outStream=std::cout)
	Hessian symmetry check.
virtual std::vector< Real >	checkHessSym (const Vector< Real > &x, const Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &w, const bool printToStream=true, std::ostream &outStream=std::cout)
	Hessian symmetry check.
virtual void	setParameter (const std::vector< Real > &param)

Private Attributes
const Ptr< Objective< Real > >	obj_
const Ptr< Constraint< Real > >	con_
Real	penaltyParameter_
Ptr< Vector< Real > >	multiplier_
Ptr< Vector< Real > >	dualOptVector_
Ptr< Vector< Real > >	dualConVector_
Ptr< Vector< Real > >	primConVector_
Ptr< ScalarController< Real, int > >	fval_
Ptr< VectorController< Real, int > >	gradient_
Ptr< VectorController< Real, int > >	conValue_
Real	fscale_
Real	cscale_
int	nfval_
int	ngval_
int	ncval_
bool	scaleLagrangian_
int	HessianApprox_

Additional Inherited Members
Protected Member Functions inherited from ROL::ROL::Objective< Real >
const std::vector< Real >	getParameter (void) const

Detailed Description

template<class Real>
class ROL::ROL::AugmentedLagrangianObjective< Real >

Definition at line 87 of file ROL_Constraint_SerialSimOpt.hpp.

Constructor & Destructor Documentation

◆ AugmentedLagrangianObjective() [1/2]

template<class Real>

ROL::ROL::AugmentedLagrangianObjective< Real >::AugmentedLagrangianObjective	(	const Ptr< Objective< Real > > &	obj,
		const Ptr< Constraint< Real > > &	con,
		const Real	penaltyParameter,
		const Vector< Real > &	dualOptVec,
		const Vector< Real > &	primConVec,
		const Vector< Real > &	dualConVec,
		ParameterList &	parlist )

inline

Definition at line 120 of file ROL_Constraint_SerialSimOpt.hpp.

◆ AugmentedLagrangianObjective() [2/2]

template<class Real>

ROL::ROL::AugmentedLagrangianObjective< Real >::AugmentedLagrangianObjective	(	const Ptr< Objective< Real > > &	obj,
		const Ptr< Constraint< Real > > &	con,
		const Real	penaltyParameter,
		const Vector< Real > &	dualOptVec,
		const Vector< Real > &	primConVec,
		const Vector< Real > &	dualConVec,
		const bool	scaleLagrangian,
		const int	HessianApprox )

inline

Definition at line 144 of file ROL_Constraint_SerialSimOpt.hpp.

Member Function Documentation

◆ update()

template<class Real>

void ROL::ROL::AugmentedLagrangianObjective< Real >::update	(	const Vector< Real > &	x,
		UpdateType	type,
		int	iter = -1 )

inlinevirtual

Update objective function.

This function updates the objective function at new iterations.

Parameters

[in]	x	is the new iterate.
[in]	type	is the type of update requested.
[in]	iter	is the outer algorithm iterations count.

Reimplemented from ROL::ROL::Objective< Real >.

Definition at line 166 of file ROL_Constraint_SerialSimOpt.hpp.

Referenced by ROL::ROL::TypeE::AugmentedLagrangianAlgorithm< Real >::initialize().

◆ setScaling()

template<class Real>

void ROL::ROL::AugmentedLagrangianObjective< Real >::setScaling	(	const Real	fscale = 1.0,
		const Real	cscale = 1.0 )

inline

Definition at line 174 of file ROL_Constraint_SerialSimOpt.hpp.

Referenced by ROL::ROL::TypeE::AugmentedLagrangianAlgorithm< Real >::initialize().

◆ value()

template<class Real>

Real ROL::ROL::AugmentedLagrangianObjective< Real >::value	(	const Vector< Real > &	x,
		Real &	tol )

inlinevirtual

Compute value.

This function returns the objective function value.

Parameters

[in]	x	is the current iterate.
[in]	tol	is a tolerance for inexact objective function computation.

Implements ROL::ROL::Objective< Real >.

Definition at line 179 of file ROL_Constraint_SerialSimOpt.hpp.

◆ gradient()

template<class Real>

void ROL::ROL::AugmentedLagrangianObjective< Real >::gradient	(	Vector< Real > &	g,
		const Vector< Real > &	x,
		Real &	tol )

inlinevirtual

Compute gradient.

This function returns the objective function gradient.

Parameters

[out]	g	is the gradient.
[in]	x	is the current iterate.
[in]	tol	is a tolerance for inexact objective function computation.

The default implementation is a finite-difference approximation based on the function value. This requires the definition of a basis \(\{\phi_i\}\) for the optimization vectors x and the definition of a basis \(\{\psi_j\}\) for the dual optimization vectors (gradient vectors g). The bases must be related through the Riesz map, i.e., \( R \{\phi_i\} = \{\psi_j\}\), and this must be reflected in the implementation of the ROL::Vector::dual() method.

Reimplemented from ROL::ROL::Objective< Real >.

Definition at line 195 of file ROL_Constraint_SerialSimOpt.hpp.

Referenced by ROL::ROL::TypeE::AugmentedLagrangianAlgorithm< Real >::initialize(), and ROL::ROL::TypeE::AugmentedLagrangianAlgorithm< Real >::run().

◆ hessVec()

template<class Real>

void ROL::ROL::AugmentedLagrangianObjective< Real >::hessVec	(	Vector< Real > &	hv,
		const Vector< Real > &	v,
		const Vector< Real > &	x,
		Real &	tol )

inlinevirtual

Apply Hessian approximation to vector.

This function applies the Hessian of the objective function to the vector \(v\).

Parameters

[out]	hv	is the the action of the Hessian on \(v\).
[in]	v	is the direction vector.
[in]	x	is the current iterate.
[in]	tol	is a tolerance for inexact objective function computation.