#include <example_01b.hpp>

Inheritance diagram for Zakharov_Sacado_Objective< Real >:

Public Member Functions
	Zakharov_Sacado_Objective ()

Real	value (const Vector< Real > &x, Real &tol)
	Compute value. More...

void	gradient (Vector< Real > &g, const Vector< Real > &x, Real &tol)
	Compute gradient. More...

void	hessVec (Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
	Apply Hessian approximation to vector. More...

Public Member Functions inherited from ROL::Objective< Real >
virtual	~Objective ()

	Objective ()

virtual void	update (const Vector< Real > &x, UpdateType type, int iter=-1)
	Update objective function. More...

virtual void	update (const Vector< Real > &x, bool flag=true, int iter=-1)
	Update objective function. More...

virtual Real	dirDeriv (const Vector< Real > &x, const Vector< Real > &d, Real &tol)
	Compute directional derivative. More...

virtual void	invHessVec (Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
	Apply inverse Hessian approximation to vector. More...

virtual void	precond (Vector< Real > &Pv, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
	Apply preconditioner to vector. More...

virtual void	prox (Vector< Real > &Pv, const Vector< Real > &v, Real t, Real &tol)
	Compute the proximity operator. More...

virtual void	proxJacVec (Vector< Real > &Jv, const Vector< Real > &v, const Vector< Real > &x, Real t, Real &tol)
	Apply the Jacobian of the proximity operator. More...

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. More...

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. More...

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. More...

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. More...

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. More...

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. More...

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. More...

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. More...

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. More...

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. More...

virtual std::vector < std::vector< Real > >	checkProxJacVec (const Vector< Real > &x, const Vector< Real > &v, Real t=Real(1), bool printToStream=true, std::ostream &outStream=std::cout, int numSteps=ROL_NUM_CHECKDERIV_STEPS)
	Finite-difference proximity operator Jacobian-applied-to-vector check. More...

virtual void	setParameter (const std::vector< Real > &param)

Private Types
typedef std::vector< Real >	vector

typedef Vector< Real >	V

typedef StdVector< Real >	SV

typedef Sacado::Fad::DFad< Real >	GradType

typedef Sacado::Fad::SFad < Real, 1 >	DirDerivType

typedef Sacado::Fad::DFad < DirDerivType >	HessVecType

typedef vector::size_type	luint

Private Member Functions
ROL::Ptr< const vector >	getVector (const V &x)

ROL::Ptr< vector >	getVector (V &x)

Private Attributes
FunctionZakharov< Real >	zfunc_

FunctionZakharov< GradType >	zfuncGrad_

FunctionZakharov< HessVecType >	zfuncHessVec_

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

Detailed Description

template<class Real>
class Zakharov_Sacado_Objective< Real >

Definition at line 69 of file example_01b.hpp.

Member Typedef Documentation

template<class Real>

typedef std::vector<Real> Zakharov_Sacado_Objective< Real >::vector

private

Definition at line 71 of file example_01b.hpp.

template<class Real>

typedef Vector<Real> Zakharov_Sacado_Objective< Real >::V

private

Definition at line 72 of file example_01b.hpp.

template<class Real>

typedef StdVector<Real> Zakharov_Sacado_Objective< Real >::SV

private

Definition at line 73 of file example_01b.hpp.

template<class Real>

typedef Sacado::Fad::DFad<Real> Zakharov_Sacado_Objective< Real >::GradType

private

Definition at line 75 of file example_01b.hpp.

template<class Real>

typedef Sacado::Fad::SFad<Real,1> Zakharov_Sacado_Objective< Real >::DirDerivType

private

Definition at line 76 of file example_01b.hpp.

template<class Real>

typedef Sacado::Fad::DFad<DirDerivType> Zakharov_Sacado_Objective< Real >::HessVecType

private

Definition at line 77 of file example_01b.hpp.

template<class Real>

typedef vector::size_type Zakharov_Sacado_Objective< Real >::luint

private

Definition at line 79 of file example_01b.hpp.

Constructor & Destructor Documentation

template<class Real>

Zakharov_Sacado_Objective< Real >::Zakharov_Sacado_Objective ( )

inline

Definition at line 105 of file example_01b.hpp.

Member Function Documentation

template<class Real>

ROL::Ptr<const vector> Zakharov_Sacado_Objective< Real >::getVector ( const V & x )

inlineprivate

Definition at line 93 of file example_01b.hpp.

template<class Real>

ROL::Ptr<vector> Zakharov_Sacado_Objective< Real >::getVector ( V & x )

inlineprivate

Definition at line 98 of file example_01b.hpp.

template<class Real>

Real Zakharov_Sacado_Objective< 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::Objective< Real >.

Definition at line 108 of file example_01b.hpp.

template<class Real>

void Zakharov_Sacado_Objective< 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::Objective< Real >.

Definition at line 115 of file example_01b.hpp.

template<class Real>

void Zakharov_Sacado_Objective< 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.