gsJacobiOp< MatrixType > Class Template Reference

Detailed Description

template<typename MatrixType>
class gismo::gsJacobiOp< MatrixType >

Jacobi preconditioner.

Inheritance diagram for gsJacobiOp< MatrixType >:

Collaboration diagram for gsJacobiOp< MatrixType >:

Public Types
typedef gsPreconditionerOp< T >	Base
	Base class.
typedef gsLinearOperator < MatrixType::Scalar >::Ptr	BasePtr
	Base class.
typedef memory::shared_ptr < gsJacobiOp >	Ptr
	Shared pointer for gsJacobiOp.
typedef MatrixType::Scalar	T
	Scalar type.
typedef memory::unique_ptr < gsJacobiOp >	uPtr
	Unique pointer for gsJacobiOp.

Public Member Functions
void	apply (const gsMatrix< T > &input, gsMatrix< T > &x) const
	apply the operator on the input vector and store the result in x More...
index_t	cols () const
	Returns the number of columns of the operator.
MatrixType::Scalar	estimateLargestEigenvalueOfPreconditionedSystem (index_t steps=10) const
	Estimates the largest eigenvalue of \( PA \). More...
void	getDamping ()
	Get damping parameter.
	gsJacobiOp (const MatrixType &mat, T tau=1)
	Constructor with given matrix.
	gsJacobiOp (const MatrixPtr &mat, T tau=1)
	Constructor with shared pointer to matrix.
NestedMatrix	matrix () const
	Returns the matrix.
MatrixPtr	matrixPtr () const
	Returns a shared pinter to the matrix.
index_t	numOfSweeps ()
	Get the number of sweeps to be applied in the member function apply.
index_t	rows () const
	Returns the number of rows of the operator.
void	setDamping (const T tau)
	Set damping parameter.
void	setNumOfSweeps (index_t n)
	Set the number of sweeps to be applied in the member function apply.
virtual void	setOptions (const gsOptionList &opt)
	Set options based on a gsOptionList object.
void	step (const gsMatrix< T > &rhs, gsMatrix< T > &x) const
	Apply the method for given right hand side and current iterate. More...
virtual void	stepT (const gsMatrix< MatrixType::Scalar > &rhs, gsMatrix< MatrixType::Scalar > &x) const
	Apply the transposed variant of the method for given right hand side and current iterate. More...
gsLinearOperator< T >::Ptr	underlyingOp () const
	Return the underlying operator \( A \).

Static Public Member Functions
static gsOptionList	defaultOptions ()
	Get the default options as gsOptionList object.
static gsIdentityOp < MatrixType::Scalar >	Identity (const index_t dim)
	Identity operator.

Private Attributes
NestedMatrix	m_expr
	Nested Eigen expression.
const MatrixPtr	m_mat
	Shared pointer to matrix (if needed)

Related Functions
(Note that these are not member functions.)
template<class Derived >
gsJacobiOp< Derived >::uPtr	makeJacobiOp (const gsEigen::EigenBase< Derived > &mat, typename Derived::Scalar tau=1)
	Returns a smart pointer to a Jacobi operator referring on mat. More...
template<class Derived >
gsJacobiOp< Derived >::uPtr	makeJacobiOp (const memory::shared_ptr< Derived > &mat, typename Derived::Scalar tau=1)
	Returns a smart pointer to a Jacobi operator referring on mat. More...

Member Function Documentation

void apply ( const gsMatrix< T > &  input, gsMatrix< T > &  x  ) const

inlinevirtual

apply the operator on the input vector and store the result in x

Parameters

input	Input vector
x	result vector

Implements gsLinearOperator< MatrixType::Scalar >.

MatrixType::Scalar estimateLargestEigenvalueOfPreconditionedSystem ( index_t  steps = 10 ) const

inlineinherited

Estimates the largest eigenvalue of \( PA \).

Parameters

steps

Number of steps to be performed.

void step ( const gsMatrix< T > &  rhs, gsMatrix< T > &  x  ) const

inlinevirtual

Apply the method for given right hand side and current iterate.

Parameters

rhs	Right hand side vector
x	Current iterate vector

Implements gsPreconditionerOp< MatrixType::Scalar >.

virtual void stepT ( const gsMatrix< MatrixType::Scalar > &  rhs, gsMatrix< MatrixType::Scalar > &  x  ) const

inlinevirtualinherited

Apply the transposed variant of the method for given right hand side and current iterate.

Parameters

rhs	Right hand side vector
x	Current iterate vector

Warning

Derived classes must overwrite this virtual function if the preconditioner is not symmetric.

Reimplemented in gsGaussSeidelOp< MatrixType, ordering >.

Friends And Related Function Documentation

gsJacobiOp< Derived >::uPtr makeJacobiOp ( const gsEigen::EigenBase< Derived > &  mat, typename Derived::Scalar  tau = 1  )

related

Returns a smart pointer to a Jacobi operator referring on mat.

gsJacobiOp< Derived >::uPtr makeJacobiOp ( const memory::shared_ptr< Derived > &  mat, typename Derived::Scalar  tau = 1  )

related

Returns a smart pointer to a Jacobi operator referring on mat.