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// Rapid Optimization Library (ROL) Package
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#ifndef ROL_ELEMENTWISE_VECTOR_H
#define ROL_ELEMENTWISE_VECTOR_H
#include "ROL_Vector.hpp"
/** @ingroup la_group
\class ROL::ElementwiseVector
\brief 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
*/
namespace ROL {
template< class Real>
class ElementwiseVector : public Vector<Real> {
public:
virtual ~ElementwiseVector() {}
void plus( const Vector<Real> &x ) {
this->applyBinary(Elementwise::Plus<Real>(),x);
}
void scale( const Real alpha ) {
this->applyUnary(Elementwise::Scale<Real>(alpha));
}
virtual Real dot( const Vector<Real> &x ) const {
Teuchos::RCP<Vector<Real> > y = this->clone();
y->set(*this);
y->applyBinary(Elementwise::Multiply<Real>(),x);
return y->reduce(Elementwise::ReductionSum<Real>());
}
virtual Real norm() const {
return std::sqrt(this->dot(*this));
}
void axpy( const Real alpha, const Vector<Real> &x ) {
this->applyBinary(Elementwise::Axpy<Real>(alpha),x);
}
void zero() {
this->applyUnary(Elementwise::Fill<Real>(Real(0)));
}
void set( const Vector<Real> &x ) {
this->applyBinary(Elementwise::Set<Real>(),x);
}
}; // class ElementwiseVector
} // namespace ROL
#endif // ROL_ELEMENTWISE_VECTOR_H
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