#include <deal.II/lac/vector_space_vector.h>

Inheritance diagram for LinearAlgebra::VectorSpaceVector< Number >:

Public Member Functions
virtual void	reinit (const VectorSpaceVector< Number > &V, const bool omit_zeroing_entries=false)=0

virtual VectorSpaceVector< Number > &	operator= (const Number s)=0

virtual VectorSpaceVector< Number > &	operator*= (const Number factor)=0

virtual VectorSpaceVector< Number > &	operator/= (const Number factor)=0

virtual VectorSpaceVector< Number > &	operator+= (const VectorSpaceVector< Number > &V)=0

virtual VectorSpaceVector< Number > &	operator-= (const VectorSpaceVector< Number > &V)=0

virtual void	import (const ReadWriteVector< Number > &V, VectorOperation::values operation, std::shared_ptr< const CommunicationPatternBase > communication_pattern=std::shared_ptr< const CommunicationPatternBase >())=0

virtual Number	operator* (const VectorSpaceVector< Number > &V) const =0

virtual void	add (const Number a)=0

virtual void	add (const Number a, const VectorSpaceVector< Number > &V)=0

virtual void	add (const Number a, const VectorSpaceVector< Number > &V, const Number b, const VectorSpaceVector< Number > &W)=0

virtual void	sadd (const Number s, const Number a, const VectorSpaceVector< Number > &V)=0

virtual void	scale (const VectorSpaceVector< Number > &scaling_factors)=0

virtual void	equ (const Number a, const VectorSpaceVector< Number > &V)=0

virtual bool	all_zero () const =0

virtual value_type	mean_value () const =0

virtual real_type	l1_norm () const =0

virtual real_type	l2_norm () const =0

virtual real_type	linfty_norm () const =0

virtual Number	add_and_dot (const Number a, const VectorSpaceVector< Number > &V, const VectorSpaceVector< Number > &W)=0

virtual void	compress (VectorOperation::values)

virtual size_type	size () const =0

virtual ::IndexSet	locally_owned_elements () const =0

virtual void	print (std::ostream &out, const unsigned int precision=3, const bool scientific=true, const bool across=true) const =0

virtual std::size_t	memory_consumption () const =0

virtual	~VectorSpaceVector ()=default

Detailed Description

template<typename Number>
class LinearAlgebra::VectorSpaceVector< Number >

VectorSpaceVector is an abstract class that is used to define the interface that vector classes need to implement when they want to implement global operations. This class is complementary of ReadWriteVector which allows the access of individual elements but does not allow global operations.

Author: Bruno Turcksin, 2015.

Definition at line 51 of file vector_space_vector.h.

Constructor & Destructor Documentation

◆ ~VectorSpaceVector()

template<typename Number>

virtual LinearAlgebra::VectorSpaceVector< Number >::~VectorSpaceVector ( )

virtualdefault

Destructor. Declared as virtual so that inheriting classes (which may manage their own memory) are destroyed correctly.

Member Function Documentation

◆ reinit()

template<typename Number>

virtual void LinearAlgebra::VectorSpaceVector< Number >::reinit	(	const VectorSpaceVector< Number > &	V,
		const bool	omit_zeroing_entries = `false`
	)

pure virtual

Change the dimension to that of the vector V. The elements of V are not copied.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::CUDAWrappers::Vector< Number >, and LinearAlgebra::EpetraWrappers::Vector.

◆ operator=()

template<typename Number>

virtual VectorSpaceVector<Number>& LinearAlgebra::VectorSpaceVector< Number >::operator= ( const Number s )

pure virtual

Sets all elements of the vector to the scalar s. This operation is only allowed if s is equal to zero.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::Vector< Number >, LinearAlgebra::CUDAWrappers::Vector< Number >, and LinearAlgebra::EpetraWrappers::Vector.

◆ operator*=()

template<typename Number>

virtual VectorSpaceVector<Number>& LinearAlgebra::VectorSpaceVector< Number >::operator*= ( const Number factor )

pure virtual

Multiply the entire vector by a fixed factor.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ operator/=()

template<typename Number>

virtual VectorSpaceVector<Number>& LinearAlgebra::VectorSpaceVector< Number >::operator/= ( const Number factor )

pure virtual

Divide the entire vector by a fixed factor.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ operator+=()

template<typename Number>

virtual VectorSpaceVector<Number>& LinearAlgebra::VectorSpaceVector< Number >::operator+= ( const VectorSpaceVector< Number > & V )

pure virtual

Add the vector V to the present one.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ operator-=()

template<typename Number>

virtual VectorSpaceVector<Number>& LinearAlgebra::VectorSpaceVector< Number >::operator-= ( const VectorSpaceVector< Number > & V )

pure virtual

Subtract the vector V from the present one.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ import()

template<typename Number>

virtual void LinearAlgebra::VectorSpaceVector< Number >::import	(	const ReadWriteVector< Number > &	V,
		VectorOperation::values	operation,
		std::shared_ptr< const CommunicationPatternBase >	communication_pattern = `std::shared_ptr< const CommunicationPatternBase >()`
	)

pure virtual

Import all the elements present in the vector's IndexSet from the input vector V. VectorOperation::values operation is used to decide if the elements in V should be added to the current vector or replace the current elements. The last parameter can be used if the same communication pattern is used multiple times. This can be used to improve performance.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ operator*()

template<typename Number>

virtual Number LinearAlgebra::VectorSpaceVector< Number >::operator* ( const VectorSpaceVector< Number > & V ) const

pure virtual

Return the scalar product of two vectors.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ add() [1/3]

template<typename Number>

virtual void LinearAlgebra::VectorSpaceVector< Number >::add ( const Number a )

pure virtual

Add a to all components. Note that a is a scalar not a vector.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ add() [2/3]

template<typename Number>

virtual void LinearAlgebra::VectorSpaceVector< Number >::add	(	const Number	a,
		const VectorSpaceVector< Number > &	V
	)

pure virtual

Simple addition of a multiple of a vector, i.e. *this += a*V.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ add() [3/3]

template<typename Number>

virtual void LinearAlgebra::VectorSpaceVector< Number >::add	(	const Number	a,
		const VectorSpaceVector< Number > &	V,
		const Number	b,
		const VectorSpaceVector< Number > &	W
	)

pure virtual

Multiple addition of scaled vectors, i.e. *this += a*V+b*W.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ sadd()

template<typename Number>

virtual void LinearAlgebra::VectorSpaceVector< Number >::sadd	(	const Number	s,
		const Number	a,
		const VectorSpaceVector< Number > &	V
	)

pure virtual

Scaling and simple addition of a multiple of a vector, i.e. *this = s*(*this)+a*V.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ scale()

template<typename Number>

virtual void LinearAlgebra::VectorSpaceVector< Number >::scale ( const VectorSpaceVector< Number > & scaling_factors )

pure virtual

Scale each element of this vector by the corresponding element in the argument. This function is mostly meant to simulate multiplication (and immediate re-assignment) by a diagonal scaling matrix.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ equ()

template<typename Number>

virtual void LinearAlgebra::VectorSpaceVector< Number >::equ	(	const Number	a,
		const VectorSpaceVector< Number > &	V
	)

pure virtual

Assignment *this = a*V.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ all_zero()

template<typename Number>

virtual bool LinearAlgebra::VectorSpaceVector< Number >::all_zero ( ) const

pure virtual

Return whether the vector contains only elements with value zero.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ mean_value()

template<typename Number>

virtual value_type LinearAlgebra::VectorSpaceVector< Number >::mean_value ( ) const

pure virtual

Return the mean value of all the entries of this vector.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ l1_norm()

template<typename Number>

virtual real_type LinearAlgebra::VectorSpaceVector< Number >::l1_norm ( ) const

pure virtual

Return the l₁ norm of the vector (i.e., the sum of the absolute values of all entries among all processors).

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ l2_norm()

template<typename Number>

virtual real_type LinearAlgebra::VectorSpaceVector< Number >::l2_norm ( ) const

pure virtual

Return the l₂ norm of the vector (i.e., the square root of the sum of the square of all entries among all processors).

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ linfty_norm()

template<typename Number>

virtual real_type LinearAlgebra::VectorSpaceVector< Number >::linfty_norm ( ) const

pure virtual

Return the maximum norm of the vector (i.e., the maximum absolute value among all entries and among all processors).

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ add_and_dot()

template<typename Number>

virtual Number LinearAlgebra::VectorSpaceVector< Number >::add_and_dot	(	const Number	a,
		const VectorSpaceVector< Number > &	V,
		const VectorSpaceVector< Number > &	W
	)

pure virtual

Perform a combined operation of a vector addition and a subsequent inner product, returning the value of the inner product. In other words, the result of this function is the same as if the user called

this->add(a, V);

return_value = *this * W;

The reason this function exists is that this operation involves less memory transfer than calling the two functions separately. This method only needs to load three vectors, this, V, W, whereas calling separate methods means to load the calling vector this twice. Since most vector operations are memory transfer limited, this reduces the time by 25% (or 50% if W equals this).

For complex-valued vectors, the scalar product in the second step is implemented as \(\left<v,w\right>=\sum_i v_i \bar{w_i}\).

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ compress()

template<typename Number>

virtual void LinearAlgebra::VectorSpaceVector< Number >::compress ( VectorOperation::values )

inlinevirtual

This function does nothing and only exists for backward compatibility.

Definition at line 198 of file vector_space_vector.h.

◆ size()

template<typename Number>

virtual size_type LinearAlgebra::VectorSpaceVector< Number >::size ( ) const

pure virtual

Return the global size of the vector, equal to the sum of the number of locally owned indices among all processors.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ locally_owned_elements()

template<typename Number>

virtual ::IndexSet LinearAlgebra::VectorSpaceVector< Number >::locally_owned_elements ( ) const

pure virtual

Return an index set that describes which elements of this vector are owned by the current processor. As a consequence, the index sets returned on different processors if this is a distributed vector will form disjoint sets that add up to the complete index set. Obviously, if a vector is created on only one processor, then the result would satisfy

vec.locally_owned_elements() == complete_index_set(vec.size())

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ print()

template<typename Number>

virtual void LinearAlgebra::VectorSpaceVector< Number >::print	(	std::ostream &	out,
		const unsigned int	precision = `3`,
		const bool	scientific = `true`,
		const bool	across = `true`
	)		const

pure virtual

Print the vector to the output stream out.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

◆ memory_consumption()

template<typename Number>

virtual std::size_t LinearAlgebra::VectorSpaceVector< Number >::memory_consumption ( ) const

pure virtual

Return the memory consumption of this class in bytes.

Implemented in LinearAlgebra::distributed::Vector< Number >, LinearAlgebra::distributed::Vector< double >, LinearAlgebra::distributed::BlockVector< Number >, LinearAlgebra::Vector< Number >, LinearAlgebra::EpetraWrappers::Vector, and LinearAlgebra::CUDAWrappers::Vector< Number >.

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

deal.II/lac/vector_space_vector.h

Public Member Functions

Detailed Description

template<typename Number> class LinearAlgebra::VectorSpaceVector< Number >

Constructor & Destructor Documentation

◆ ~VectorSpaceVector()

Member Function Documentation

◆ reinit()

◆ operator=()

◆ operator*=()

◆ operator/=()

◆ operator+=()

◆ operator-=()

◆ import()

◆ operator*()

◆ add() [1/3]

◆ add() [2/3]

◆ add() [3/3]

◆ sadd()

◆ scale()

◆ equ()

◆ all_zero()

◆ mean_value()

◆ l1_norm()

◆ l2_norm()

◆ linfty_norm()

◆ add_and_dot()

◆ compress()

◆ size()

◆ locally_owned_elements()

◆ print()

◆ memory_consumption()

template<typename Number>
class LinearAlgebra::VectorSpaceVector< Number >