Detailed Description

template<class shape_storage_type, class matrix_type, class rhs_type>
class mm::ImplicitVectorOperators< shape_storage_type, matrix_type, rhs_type >::GradOp

Class representing the directional derivative (gradient) operation.

If vec is denoted by \(\vec v\), then this class represents \((\vec v \cdot \nabla)\) operator evaluated at node with index node.

Definition at line 217 of file ImplicitVectorOperators_fwd.hpp.

Inheritance diagram for mm::ImplicitVectorOperators< shape_storage_type, matrix_type, rhs_type >::GradOp:

Collaboration diagram for mm::ImplicitVectorOperators< shape_storage_type, matrix_type, rhs_type >::GradOp:

Public Member Functions
RowVecOp	eval (scalar_t alpha) const
	Evaluate this operator. More...

RowVecOp	eval () const
	Eval with `alpha = 1.0`. More...

RowVecOp	operator* (scalar_t alpha)
	Multiply this operation by a scalar. More...

RowVecOp	operator+ (RowVecOp right)
	Combine this operation with another row operation. More...

RowVecOp	operator+ (const VecOpBase< other_derived_t > &right)
	Combine tho operation with another operation. Both operations are evaluated. More...

RowVecOp	operator- ()
	Multiply this operation by `-1`. More...

Friends
class	ImplicitVectorOperators

Protected Attributes
ImplicitVectorOperators &	op
	Reference to underlying operators. More...

int	node
	Index of the point for which to apply the operation. More...

int	row
	Matrix row to which the operation should be applied (without offset). More...

Private Member Functions
	GradOp (ImplicitVectorOperators &op, int node, int row, const domain_vector_t &vec)
	Construct directional derivative operator with given direction. More...

Private Attributes
domain_vector_t	vec
	Vector representing the direction of differentiation. More...

Constructor & Destructor Documentation

◆ GradOp()

template<class shape_storage_type , class matrix_type , class rhs_type >

mm::ImplicitVectorOperators< shape_storage_type, matrix_type, rhs_type >::GradOp::GradOp	(	ImplicitVectorOperators &	op,
		int	node,
		int	row,
		const domain_vector_t &	vec
	)

inlineprivate

Construct directional derivative operator with given direction.

Definition at line 222 of file ImplicitVectorOperators_fwd.hpp.

Member Function Documentation

◆ eval() [1/2]

RowVecOp mm::ImplicitVectorOperators< shape_storage_type, matrix_type, rhs_type >::VecOpBase< GradOp >::eval

inlineinherited

Eval with alpha = 1.0.

Definition at line 149 of file ImplicitVectorOperators_fwd.hpp.

◆ eval() [2/2]

template<class shape_storage_type , class matrix_type , class rhs_type >

RowVecOp mm::ImplicitVectorOperators< shape_storage_type, matrix_type, rhs_type >::GradOp::eval ( scalar_t alpha ) const

inline

Evaluate this operator.

Definition at line 226 of file ImplicitVectorOperators_fwd.hpp.

◆ operator*()

RowVecOp mm::ImplicitVectorOperators< shape_storage_type, matrix_type, rhs_type >::VecOpBase< GradOp >::operator* ( scalar_t alpha )

inlineinherited

Multiply this operation by a scalar.

Definition at line 153 of file ImplicitVectorOperators_fwd.hpp.

◆ operator+() [1/2]

RowVecOp mm::ImplicitVectorOperators< shape_storage_type, matrix_type, rhs_type >::VecOpBase< GradOp >::operator+ ( const VecOpBase< other_derived_t > & right )