ROL
ROL::ElementwiseVector< Real > Class Template Referenceabstract

Intermediate abstract class which does not require users implements plus, set, scale, axpy, norm, dot, or zero if they implement the three elementwise functions: applyUnary, applyBinary, and reduce. More...

#include <ROL_ElementwiseVector.hpp>

Inheritance diagram for ROL::ElementwiseVector< Real >:

Public Member Functions

virtual ~ElementwiseVector ()
void plus (const Vector< Real > &x)
void scale (const Real alpha)
 Compute \(y \leftarrow \alpha y\) where \(y = \mathtt{*this}\).
virtual Real dot (const Vector< Real > &x) const
virtual Real norm () const
 Returns \( \| y \| \) where \(y = \mathtt{*this}\).
void axpy (const Real alpha, const Vector< Real > &x)
void zero ()
 Set to zero vector.
void set (const Vector< Real > &x)
virtual void applyUnary (const Elementwise::UnaryFunction< Real > &uf)=0
virtual void applyBinary (const Elementwise::BinaryFunction< Real > &bf, const Vector< Real > &x)=0
virtual Real reduce (const Elementwise::ReductionOp< Real > &r) const =0
Public Member Functions inherited from ROL::ROL::Vector< Real >
virtual ~Vector ()
virtual void plus (const Vector &x)=0
 Compute \(y \leftarrow y + x\), where \(y = \mathtt{*this}\).
virtual Real dot (const Vector &x) const =0
 Compute \( \langle y,x \rangle \) where \(y = \mathtt{*this}\).
virtual ROL::Ptr< Vectorclone () const =0
 Clone to make a new (uninitialized) vector.
virtual void axpy (const Real alpha, const Vector &x)
 Compute \(y \leftarrow \alpha x + y\) where \(y = \mathtt{*this}\).
virtual ROL::Ptr< Vectorbasis (const int i) const
 Return i-th basis vector.
virtual int dimension () const
 Return dimension of the vector space.
virtual void set (const Vector &x)
 Set \(y \leftarrow x\) where \(y = \mathtt{*this}\).
virtual const Vectordual () 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.
virtual Real apply (const Vector< Real > &x) const
 Apply \(\mathtt{*this}\) to a dual vector. This is equivalent to the call \(\mathtt{this->dot(x.dual())}\).
virtual void applyBinary (const Elementwise::BinaryFunction< Real > &f, const Vector &x)
virtual void print (std::ostream &outStream) const
virtual void setScalar (const Real C)
 Set \(y \leftarrow C\) where \(C\in\mathbb{R}\).
virtual void randomize (const Real l=0.0, const Real u=1.0)
 Set vector to be uniform random between [l,u].
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.

Detailed Description

template<class Real>
class ROL::ElementwiseVector< Real >

Intermediate abstract class which does not require users implements plus, set, scale, axpy, norm, dot, or zero if they implement the three elementwise functions: applyUnary, applyBinary, and reduce.

dot and norm are unweighted dot products and Euclidean norm by default

Definition at line 30 of file ROL_ElementwiseVector.hpp.

Constructor & Destructor Documentation

◆ ~ElementwiseVector()

template<class Real>
virtual ROL::ElementwiseVector< Real >::~ElementwiseVector ( )
inlinevirtual

Definition at line 34 of file ROL_ElementwiseVector.hpp.

Member Function Documentation

◆ plus()

template<class Real>
void ROL::ElementwiseVector< Real >::plus ( const Vector< Real > & x)
inline

Definition at line 36 of file ROL_ElementwiseVector.hpp.

References applyBinary().

◆ scale()

template<class Real>
void ROL::ElementwiseVector< 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 40 of file ROL_ElementwiseVector.hpp.

References applyUnary().

◆ dot()

template<class Real>
virtual Real ROL::ElementwiseVector< Real >::dot ( const Vector< Real > & x) const
inlinevirtual

Reimplemented in ROL::RieszDualVector< Real >, and ROL::RieszPrimalVector< Real >.

Definition at line 44 of file ROL_ElementwiseVector.hpp.

References ROL::ROL::Vector< Real >::clone().

Referenced by norm().

◆ norm()

template<class Real>
virtual Real ROL::ElementwiseVector< 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 51 of file ROL_ElementwiseVector.hpp.

References dot().

◆ axpy()

template<class Real>
void ROL::ElementwiseVector< Real >::axpy ( const Real alpha,
const Vector< Real > & x )
inline

Definition at line 55 of file ROL_ElementwiseVector.hpp.

References applyBinary().

◆ zero()

template<class Real>
void ROL::ElementwiseVector< Real >::zero ( )
inlinevirtual

Set to zero vector.

  Uses #scale by zero for the computation.
  Please overload if a more efficient implementation is needed.

  ---

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

Definition at line 59 of file ROL_ElementwiseVector.hpp.

References applyUnary().

◆ set()

template<class Real>
void ROL::ElementwiseVector< Real >::set ( const Vector< Real > & x)
inline

Definition at line 63 of file ROL_ElementwiseVector.hpp.

References applyBinary().

◆ applyUnary()

template<class Real>
virtual void ROL::ElementwiseVector< Real >::applyUnary ( const Elementwise::UnaryFunction< Real > & uf)
pure virtual

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

Implemented in ROL::RieszDualVector< Real >, and ROL::RieszPrimalVector< Real >.

Referenced by scale(), and zero().

◆ applyBinary()

template<class Real>
virtual void ROL::ElementwiseVector< Real >::applyBinary ( const Elementwise::BinaryFunction< Real > & bf,
const Vector< Real > & x )
pure virtual

◆ reduce()

template<class Real>
virtual Real ROL::ElementwiseVector< Real >::reduce ( const Elementwise::ReductionOp< Real > & r) const
pure virtual

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