#include <test_11.hpp>

Inheritance diagram for CLExactModel< Real >:

Public Member Functions
	CLExactModel (ROL::Ptr< std::vector< Real > > &xp, const ROL::Ptr< const std::vector< Real > > &lp, const ROL::Ptr< const std::vector< Real > > &up)

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

Real	value (const ROL::Vector< Real > &s, Real &tol)
	Compute value. More...

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

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

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

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

Private Attributes
ROL::Ptr< std::vector< Real > >	x_

const ROL::Ptr< const std::vector< Real > >	l_

const ROL::Ptr< const std::vector< Real > >	u_

ROL::Ptr< std::vector< Real > >	g_

ROL::Ptr< std::vector< Real > >	di_

ROL::Ptr< std::vector< Real > >	j_

ROL::Ptr< ROL::Objective< Real > >	obj_

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

Detailed Description

template<class Real>
class CLExactModel< Real >

Definition at line 108 of file test_11.hpp.

Constructor & Destructor Documentation

template<class Real >

CLExactModel< Real >::CLExactModel	(	ROL::Ptr< std::vector< Real > > &	xp,
		const ROL::Ptr< const std::vector< Real > > &	lp,
		const ROL::Ptr< const std::vector< Real > > &	up
	)

inline

Definition at line 120 of file test_11.hpp.

References CLExactModel< Real >::di_, CLExactModel< Real >::g_, CLExactModel< Real >::j_, CLExactModel< Real >::l_, CLExactModel< Real >::obj_, CLExactModel< Real >::u_, and CLExactModel< Real >::x_.

Member Function Documentation

template<class Real >

void CLExactModel< Real >::update	(	const ROL::Vector< Real > &	x,
		bool	flag = `true`,
		int	iter = `-1`
	)

inlinevirtual

Update objective function.

This function updates the objective function at new iterations.

Parameters

[in]	x	is the new iterate.
[in]	flag	is true if the iterate has changed.
[in]	iter	is the outer algorithm iterations count.

Reimplemented from ROL::Objective< Real >.

Definition at line 171 of file test_11.hpp.

References CLExactModel< Real >::g_, CLExactModel< Real >::l_, CLExactModel< Real >::obj_, and CLExactModel< Real >::u_.

template<class Real >

Real CLExactModel< Real >::value	(	const ROL::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 213 of file test_11.hpp.

References ROL::Vector< Real >::clone(), and CLExactModel< Real >::hessVec().

template<class Real >

void CLExactModel< Real >::gradient	(	ROL::Vector< Real > &	g,
		const ROL::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 225 of file test_11.hpp.

References CLExactModel< Real >::hessVec().

template<class Real >

void CLExactModel< Real >::hessVec	(	ROL::Vector< Real > &	hv,
		const ROL::Vector< Real > &	v,
		const ROL::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.