#include <ROL_Constraint_SerialSimOpt.hpp>

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

Public Member Functions
	Vector_SimOpt (const ROL::Ptr< Vector< Real > > &vec1, const ROL::Ptr< Vector< Real > > &vec2)
void	plus (const Vector< Real > &x)
	Compute \(y \leftarrow y + x\), where \(y = \mathtt{*this}\).
void	scale (const Real alpha)
	Compute \(y \leftarrow \alpha y\) where \(y = \mathtt{*this}\).
void	axpy (const Real alpha, const Vector< Real > &x)
	Compute \(y \leftarrow \alpha x + y\) where \(y = \mathtt{*this}\).
Real	dot (const Vector< Real > &x) const
	Compute \( \langle y,x \rangle \) where \(y = \mathtt{*this}\).
Real	norm () const
	Returns \( \\| y \\| \) where \(y = \mathtt{*this}\).
ROL::Ptr< Vector< Real > >	clone () const
	Clone to make a new (uninitialized) vector.
const Vector< Real > &	dual (void) const
	Return dual representation of \(\mathtt{*this}\), for example, the result of applying a Riesz map, or change of basis, or change of memory layout.
Real	apply (const Vector< Real > &x) const
	Apply \(\mathtt{*this}\) to a dual vector. This is equivalent to the call \(\mathtt{this->dot(x.dual())}\).
ROL::Ptr< Vector< Real > >	basis (const int i) const
	Return i-th basis vector.
void	applyUnary (const Elementwise::UnaryFunction< Real > &f)
void	applyBinary (const Elementwise::BinaryFunction< Real > &f, const Vector< Real > &x)
Real	reduce (const Elementwise::ReductionOp< Real > &r) const
void	setScalar (const Real C)
	Set \(y \leftarrow C\) where \(C\in\mathbb{R}\).
void	randomize (const Real l=0.0, const Real u=1.0)
	Set vector to be uniform random between [l,u].
int	dimension () const
	Return dimension of the vector space.
ROL::Ptr< const Vector< Real > >	get_1 () const
ROL::Ptr< const Vector< Real > >	get_2 () const
ROL::Ptr< Vector< Real > >	get_1 ()
ROL::Ptr< Vector< Real > >	get_2 ()
void	set_1 (const Vector< Real > &vec)
void	set_2 (const Vector< Real > &vec)
void	print (std::ostream &outStream) const
Public Member Functions inherited from ROL::ROL::Vector< Real >
virtual	~Vector ()
virtual void	zero ()
	Set to zero vector.
virtual void	set (const Vector &x)
	Set \(y \leftarrow x\) where \(y = \mathtt{*this}\).
virtual std::vector< Real >	checkVector (const Vector< Real > &x, const Vector< Real > &y, const bool printToStream=true, std::ostream &outStream=std::cout) const
	Verify vector-space methods.

Private Attributes
ROL::Ptr< Vector< Real > >	vec1_
ROL::Ptr< Vector< Real > >	vec2_
ROL::Ptr< Vector< Real > >	dual_vec1_
ROL::Ptr< Vector< Real > >	dual_vec2_
ROL::Ptr< Vector_SimOpt< Real > >	dual_vec_

Detailed Description

template<class Real>
class ROL::ROL::Vector_SimOpt< Real >

Definition at line 23 of file ROL_Constraint_SerialSimOpt.hpp.

Constructor & Destructor Documentation

◆ Vector_SimOpt()

template<class Real>

ROL::ROL::Vector_SimOpt< Real >::Vector_SimOpt	(	const ROL::Ptr< Vector< Real > > &	vec1,
		const ROL::Ptr< Vector< Real > > &	vec2 )

inline

Definition at line 32 of file ROL_Constraint_SerialSimOpt.hpp.

Member Function Documentation

◆ plus()

template<class Real>

void ROL::ROL::Vector_SimOpt< Real >::plus ( const Vector< Real > & x )

inlinevirtual

Compute \(y \leftarrow y + x\), where \(y = \mathtt{*this}\).

  @param[in]      x  is the vector to be added to \f$\mathtt{*this}\f$.

  On return \f$\mathtt{*this} = \mathtt{*this} + x\f$.

  ---

Implements ROL::ROL::Vector< Real >.

Definition at line 38 of file ROL_Constraint_SerialSimOpt.hpp.

Referenced by ROL::Objective_SimOpt< Real >::hessVec().

◆ scale()

template<class Real>

void ROL::ROL::Vector_SimOpt< Real >::scale ( const Real alpha )

inlinevirtual

Compute \(y \leftarrow \alpha y\) where \(y = \mathtt{*this}\).

  @param[in]      alpha is the scaling of \f$\mathtt{*this}\f$.

  On return \f$\mathtt{*this} = \alpha (\mathtt{*this}) \f$.

  ---

Implements ROL::ROL::Vector< Real >.

Definition at line 45 of file ROL_Constraint_SerialSimOpt.hpp.

◆ axpy()

template<class Real>

void ROL::ROL::Vector_SimOpt< Real >::axpy	(	const Real	alpha,
		const Vector< Real > &	x )

inlinevirtual

Compute \(y \leftarrow \alpha x + y\) where \(y = \mathtt{*this}\).

  @param[in]      alpha is the scaling of @b x.
  @param[in]      x     is a vector.

  On return \f$\mathtt{*this} = \mathtt{*this} + \alpha x \f$.
  Uses #clone, #set, #scale and #plus for the computation.
  Please overload if a more efficient implementation is needed.

  ---

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

Definition at line 50 of file ROL_Constraint_SerialSimOpt.hpp.

◆ dot()

template<class Real>

Real ROL::ROL::Vector_SimOpt< Real >::dot ( const Vector< Real > & x ) const

inlinevirtual

Compute \( \langle y,x \rangle \) where \(y = \mathtt{*this}\).

  @param[in]      x  is the vector that forms the dot product with \f$\mathtt{*this}\f$.
  @return         The number equal to \f$\langle \mathtt{*this}, x \rangle\f$.

  ---

Implements ROL::ROL::Vector< Real >.

Definition at line 57 of file ROL_Constraint_SerialSimOpt.hpp.

◆ norm()

template<class Real>

Real ROL::ROL::Vector_SimOpt< Real >::norm ( ) const

inlinevirtual

Returns \( \| y \| \) where \(y = \mathtt{*this}\).

  @return         A nonnegative number equal to the norm of \f$\mathtt{*this}\f$.

  ---

Implements ROL::ROL::Vector< Real >.

Definition at line 63 of file ROL_Constraint_SerialSimOpt.hpp.

◆ clone()

template<class Real>

ROL::Ptr< Vector< Real > > ROL::ROL::Vector_SimOpt< Real >::clone ( ) const

inlinevirtual

Clone to make a new (uninitialized) vector.

  @return         A reference-counted pointer to the cloned vector.

  Provides the means of allocating temporary memory in ROL.

  ---

Implements ROL::ROL::Vector< Real >.

Definition at line 69 of file ROL_Constraint_SerialSimOpt.hpp.

Referenced by dual(), and ROL::Objective_SimOpt< Real >::hessVec().

◆ dual()

template<class Real>

const Vector< Real > & ROL::ROL::Vector_SimOpt< Real >::dual ( void ) const

inlinevirtual

Return dual representation of \(\mathtt{*this}\), for example, the result of applying a Riesz map, or change of basis, or change of memory layout.

Returns: A const reference to dual representation.

By default, returns the current object. Please overload if you need a dual representation.

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

Definition at line 73 of file ROL_Constraint_SerialSimOpt.hpp.

References clone(), and workspace_.

◆ apply()

template<class Real>

Real ROL::ROL::Vector_SimOpt< Real >::apply ( const Vector< Real > & x ) const

inlinevirtual

Apply \(\mathtt{*this}\) to a dual vector. This is equivalent to the call \(\mathtt{this->dot(x.dual())}\).

Parameters

[in] x is a vector

Returns: The number equal to \(\langle \mathtt{*this}, x \rangle\).

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

Definition at line 80 of file ROL_Constraint_SerialSimOpt.hpp.

◆ basis()

template<class Real>

ROL::Ptr< Vector< Real > > ROL::ROL::Vector_SimOpt< Real >::basis ( const int i ) const

inlinevirtual

Return i-th basis vector.

  @param[in] i is the index of the basis function.
  @return A reference-counted pointer to the basis vector with index @b i.

  Overloading the basis is only required if the default gradient implementation
  is used, which computes a finite-difference approximation.

  ---

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

Definition at line 86 of file ROL_Constraint_SerialSimOpt.hpp.

◆ applyUnary()

template<class Real>

void ROL::ROL::Vector_SimOpt< Real >::applyUnary ( const Elementwise::UnaryFunction< Real > & f )

inlinevirtual

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

Definition at line 102 of file ROL_Constraint_SerialSimOpt.hpp.

◆ applyBinary()

template<class Real>

void ROL::ROL::Vector_SimOpt< Real >::applyBinary	(	const Elementwise::BinaryFunction< Real > &	f,
		const Vector< Real > &	x )

inlinevirtual

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

Definition at line 109 of file ROL_Constraint_SerialSimOpt.hpp.

◆ reduce()

template<class Real>

Real ROL::ROL::Vector_SimOpt< Real >::reduce ( const Elementwise::ReductionOp< Real > & r ) const

inlinevirtual

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

Definition at line 117 of file ROL_Constraint_SerialSimOpt.hpp.

◆ setScalar()

template<class Real>

void ROL::ROL::Vector_SimOpt< Real >::setScalar ( const Real C )

inlinevirtual

Set \(y \leftarrow C\) where \(C\in\mathbb{R}\).

  @param[in]      C     is a scalar.

  On return \f$\mathtt{*this} = C\f$.
  Uses #applyUnary methods for the computation.
  Please overload if a more efficient implementation is needed.

  ---

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

Definition at line 125 of file ROL_Constraint_SerialSimOpt.hpp.

◆ randomize()

template<class Real>

void ROL::ROL::Vector_SimOpt< Real >::randomize	(	const Real	l = 0.0,
		const Real	u = 1.0 )

inlinevirtual

Set vector to be uniform random between [l,u].

  @param[in]      l     is a the lower bound.
  @param[in]      u     is a the upper bound.

  On return the components of \f$\mathtt{*this}\f$ are uniform
  random numbers on the interval \f$[l,u]\f$.
        The default implementation uses #applyUnary methods for the
        computation. Please overload if a more efficient implementation is
  needed.

  ---

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

Definition at line 130 of file ROL_Constraint_SerialSimOpt.hpp.

◆ dimension()

template<class Real>

int ROL::ROL::Vector_SimOpt< Real >::dimension ( void ) const

inlinevirtual

Return dimension of the vector space.

  @return The dimension of the vector space, i.e., the total number of basis vectors.

  Overload if the basis is overloaded.

  ---

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

Definition at line 136 of file ROL_Constraint_SerialSimOpt.hpp.

◆ get_1() [1/2]

template<class Real>

ROL::Ptr< const Vector< Real > > ROL::ROL::Vector_SimOpt< Real >::get_1 ( ) const

inline

Definition at line 140 of file ROL_Constraint_SerialSimOpt.hpp.

Referenced by ROL::Objective_SimOpt< Real >::gradient(), ROL::Objective_SimOpt< Real >::hessVec(), ROL::Objective_SimOpt< Real >::update(), ROL::Objective_SimOpt< Real >::update(), and ROL::Objective_SimOpt< Real >::value().

◆ get_2() [1/2]

template<class Real>

ROL::Ptr< const Vector< Real > > ROL::ROL::Vector_SimOpt< Real >::get_2 ( ) const

inline

Definition at line 144 of file ROL_Constraint_SerialSimOpt.hpp.

Referenced by ROL::Objective_SimOpt< Real >::gradient(), ROL::Objective_SimOpt< Real >::hessVec(), ROL::Objective_SimOpt< Real >::update(), ROL::Objective_SimOpt< Real >::update(), and ROL::Objective_SimOpt< Real >::value().

◆ get_1() [2/2]

template<class Real>

ROL::Ptr< Vector< Real > > ROL::ROL::Vector_SimOpt< Real >::get_1 ( )

inline

Definition at line 148 of file ROL_Constraint_SerialSimOpt.hpp.

◆ get_2() [2/2]

template<class Real>

ROL::Ptr< Vector< Real > > ROL::ROL::Vector_SimOpt< Real >::get_2 ( )

inline

Definition at line 152 of file ROL_Constraint_SerialSimOpt.hpp.

◆ set_1()

template<class Real>

void ROL::ROL::Vector_SimOpt< Real >::set_1 ( const Vector< Real > & vec )

inline

Definition at line 156 of file ROL_Constraint_SerialSimOpt.hpp.

Referenced by ROL::Objective_SimOpt< Real >::gradient(), and ROL::Objective_SimOpt< Real >::hessVec().

◆ set_2()

template<class Real>

void ROL::ROL::Vector_SimOpt< Real >::set_2 ( const Vector< Real > & vec )

inline

Definition at line 160 of file ROL_Constraint_SerialSimOpt.hpp.

Referenced by ROL::Objective_SimOpt< Real >::gradient(), and ROL::Objective_SimOpt< Real >::hessVec().

◆ print()

template<class Real>

void ROL::ROL::Vector_SimOpt< Real >::print ( std::ostream & outStream ) const

inlinevirtual

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

Definition at line 164 of file ROL_Constraint_SerialSimOpt.hpp.

Member Data Documentation

◆ vec1_

template<class Real>

ROL::Ptr<Vector<Real> > ROL::ROL::Vector_SimOpt< Real >::vec1_

private

Definition at line 25 of file ROL_Constraint_SerialSimOpt.hpp.

◆ vec2_

template<class Real>

ROL::Ptr<Vector<Real> > ROL::ROL::Vector_SimOpt< Real >::vec2_

private

Definition at line 26 of file ROL_Constraint_SerialSimOpt.hpp.

◆ dual_vec1_

template<class Real>

ROL::Ptr<Vector<Real> > ROL::ROL::Vector_SimOpt< Real >::dual_vec1_

mutableprivate

Definition at line 27 of file ROL_Constraint_SerialSimOpt.hpp.

◆ dual_vec2_

template<class Real>

ROL::Ptr<Vector<Real> > ROL::ROL::Vector_SimOpt< Real >::dual_vec2_

mutableprivate

Definition at line 28 of file ROL_Constraint_SerialSimOpt.hpp.

◆ dual_vec_

template<class Real>

ROL::Ptr<Vector_SimOpt<Real> > ROL::ROL::Vector_SimOpt< Real >::dual_vec_

mutableprivate

Definition at line 29 of file ROL_Constraint_SerialSimOpt.hpp.

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

ROL_Constraint_SerialSimOpt.hpp

Public Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ Vector_SimOpt()

Member Function Documentation

◆ plus()

◆ scale()

◆ axpy()

◆ dot()

◆ norm()

◆ clone()

◆ dual()

◆ apply()

◆ basis()

◆ applyUnary()

◆ applyBinary()

◆ reduce()

◆ setScalar()

◆ randomize()

◆ dimension()

◆ get_1() [1/2]

◆ get_2() [1/2]

◆ get_1() [2/2]

◆ get_2() [2/2]

◆ set_1()

◆ set_2()

◆ print()

Member Data Documentation

◆ vec1_

◆ vec2_

◆ dual_vec1_

◆ dual_vec2_

◆ dual_vec_