#include <Thyra_LinearOpBaseDecl.hpp>
Inheritance diagram for Thyra::LinearOpBase< RangeScalar, DomainScalar >:
Public pure virtual functions (must be overridden by subclass) | |
virtual RCP< const VectorSpaceBase< RangeScalar > > | range () const =0 |
Return a smart pointer for the range space for this operator. | |
virtual RCP< const VectorSpaceBase< DomainScalar > > | domain () const =0 |
Return a smart pointer for the domain space for this operator. | |
virtual void | apply (const EConj conj, const MultiVectorBase< DomainScalar > &X, MultiVectorBase< RangeScalar > *Y, const RangeScalar alpha=Teuchos::ScalarTraits< RangeScalar >::one(), const RangeScalar beta=Teuchos::ScalarTraits< RangeScalar >::zero()) const =0 |
Apply the forward non-conjugate or conjugate linear operator to a multi-vector : Y = alpha*M*X + beta*Y . | |
Public virtual functions with default implementations | |
virtual bool | applySupports (const EConj conj) const |
Determines if apply() supports this conj argument. | |
virtual bool | applyTransposeSupports (const EConj conj) const |
Determines if applyTranspose() supports this conj argument. | |
virtual void | applyTranspose (const EConj conj, const MultiVectorBase< RangeScalar > &X, MultiVectorBase< DomainScalar > *Y, const DomainScalar alpha=Teuchos::ScalarTraits< DomainScalar >::one(), const DomainScalar beta=Teuchos::ScalarTraits< DomainScalar >::zero()) const |
Apply the non-conjugate or conjugate transposed linear operator to a multi-vector : Y = alpha*trans(M)*X + beta*Y . | |
virtual RCP< const LinearOpBase< RangeScalar, DomainScalar > > | clone () const |
Clone the linear operator object (if supported). | |
Related Functions | |
(Note that these are not member functions.) | |
bool | opSupported (const LinearOpBase< Scalar > &M, ETransp M_trans) |
Determines if an operation is supported for a single scalar type. | |
void | apply (const LinearOpBase< RangeScalar, DomainScalar > &M, const EConj conj, const MultiVectorBase< DomainScalar > &X, MultiVectorBase< RangeScalar > *Y, const RangeScalar alpha=ScalarTraits< RangeScalar >::one(), const RangeScalar beta=ScalarTraits< RangeScalar >::zero()) |
Call LinearOpBase::apply() as a global function call. | |
void | applyTranspose (const LinearOpBase< RangeScalar, DomainScalar > &M, const EConj conj, const MultiVectorBase< RangeScalar > &X, MultiVectorBase< DomainScalar > *Y, const DomainScalar alpha=ScalarTraits< DomainScalar >::one(), const DomainScalar beta=ScalarTraits< DomainScalar >::zero()) |
Call LinearOpBase::applyTranspose() as a global function call. | |
void | apply (const LinearOpBase< Scalar > &M, const ETransp M_trans, const MultiVectorBase< Scalar > &X, MultiVectorBase< Scalar > *Y, const Scalar alpha=ScalarTraits< Scalar >::one(), const Scalar beta=ScalarTraits< Scalar >::zero()) |
Call LinearOpBase::apply() or LinearOpBase::applyTranspose() as a global function call (for a single scalar type). |
Y = alpha*M*X + beta*Y
Y = alpha*conjugate(M)*X + beta*Y
through the apply()
function and the operations
Y = alpha*transpose(M)*X + beta*Y
Y = alpha*adjoint(M)*X + beta*Y
through the applyTranspose()
function where Y
and X
are MultiVectorBase
objects. The reason for the exact form of the above operations is that there are direct BLAS and equivalent versions of these operations and performing a sum-into multiplication is more efficient in general.
x
and y
that lie in the domain and the range spaces of the non-transposed linear operator y = M*x
and these spaces are returned by domain()
and range()
.RangeScalar
and DomainScalar
respectively. This is needed to support such things as real-to-complex FFTs (see the example RealToComplex1DFFTLinearOp
for instance) and real to extended-precision linear operators.LinearOpBase
implementations and many different ANAs will only support a single scalar type. There is a lot of support for single-scalar-type linear operators.First, note that there is a forward declaration for this class of the form
template<class RangeScalar, class DomainScalar = RangeScalar> class LinearOpBase;
that allows the class to be refereed to using just one Scalar type as LinearOpBase<Scalar>
. This is useful for both clients and subclass implementations.
When a client ANA can only support a single-scalar type of linear operator, it may be more convenient to use some of the wrapper functions such as Thyra::apply()
and Thyra::opSupported()
that are described here.
domain()
and range()
may have specialized implementations of the scalar product (i.e. in general). As a result, the operator and adjoint operator must obey the defined scalar products. Specifically, for any two vectors (in the domain space of A
) and (in the range space of A
), the adjoint operation must obey the adjoint property
where is the scalar product defined by this->range()->scalarProd()
and is the scalar product defined by this->domain()->scalarProd()
. This property of the adjoint can be checked numerically, if adjoints are supported, using the testing utility class LinearOpTester
.
Y
with the input object X
in apply()
or applyTranspose()
. Allowing aliasing would greatly complicate the development of concrete subclasses.LinearOpBase
object can not support a particular type of operator application, then this is determined by the functions applySupports()
and applyTransposeSupports()
.LinearOpTester
provides a full featured set of tests for any LinearOpBase
object. This testing class can check if the operator is truly "linear", and/or if the adjoint relationship holds, and/or if an operator is symmetric. All of the tests are controlled by the client, can be turned on and off, and pass/failure is determined by tolerances that the client can specify. In addition, this testing class can also check if two linear operators are approximately equal.domain()
, range()
and apply()
. Note that the functions domain()
and range()
should simply return VectorSpaceBase
objects for subclasses that are already defined for the vectors that the linear operator interacts with through the function apply()
. Therefore, given that appropriate VectorSpaceBase
and MultiVectorBase
(and/or VectorBase
) subclasses exist, the only real work involved in implementing a LinearOpBase
subclass is in defining a single function apply()
.
This interface provides default implementations for the functions applyTranspose()
and applyTransposeSupports()
where it is assumed that the operator does not support transpose (or adjoint) operator applications. If transpose (and/or adjoint) operator applications can be supported, then the functions applyTranspose()
and applyTransposeSupports()
should be overridden as well.
If possible, the subclass should also override the clone()
function which allows clients to create copies of a LinearOpBase
object. This functionality is useful in some circumstances. However, this functionality is not required and the default clone()
implementation returns a null smart pointer object.
If a concrete subclass can only support a single scalar type, then the concrete subclass should perhaps inherit form the SingleScalarLinearOpBase
node subclass. This node subclass provides just a single function SingleScalarLinearOpBase::apply()
that will support both forward and transpose (adjoint) operator applications.
If, in addition to only supporting a single scalar type, a concrete subclass can only support single RHS operator applications, then perhaps the node subclass SingleRhsLinearOpBase
should be inherited from. This node subclass provides a version of SingleRhsLinearOpBase::apply()
that takes VectorBase
objects instead of MultiVectorBase
objects.
Definition at line 202 of file Thyra_LinearOpBaseDecl.hpp.
virtual RCP< const VectorSpaceBase<RangeScalar> > Thyra::LinearOpBase< RangeScalar, DomainScalar >::range | ( | ) | const [pure virtual] |
Return a smart pointer for the range space for this
operator.
Note that a return value of return.get()==NULL
is a flag that *this
is not fully initialized.
If return.get()!=NULL
, it is required that the object referenced by *return.get()
must have lifetime that extends past the lifetime of the returned smart pointer object. However, the object referenced by *return.get()
may change if *this
modified so this reference should not be maintained for too long.
New Behavior! It is required that the VectorSpaceBase
object embedded in return
must be valid past the lifetime of *this
linear operator object.
virtual RCP< const VectorSpaceBase<DomainScalar> > Thyra::LinearOpBase< RangeScalar, DomainScalar >::domain | ( | ) | const [pure virtual] |
Return a smart pointer for the domain space for this
operator.
Note that a return value of return.get()==NULL
is a flag that *this
is not fully initialized.
If return.get()!=NULL
, it is required that the object referenced by *return.get()
must have lifetime that extends past the lifetime of the returned smart pointer object. However, the object referenced by *return.get()
may change if *this
modified so this reference should not be maintained for too long.
New Behavior! It is required that the VectorSpaceBase
object embedded in return
must be valid past the lifetime of *this
linear operator object.
virtual void Thyra::LinearOpBase< RangeScalar, DomainScalar >::apply | ( | const EConj | conj, | |
const MultiVectorBase< DomainScalar > & | X, | |||
MultiVectorBase< RangeScalar > * | Y, | |||
const RangeScalar | alpha = Teuchos::ScalarTraits< RangeScalar >::one() , |
|||
const RangeScalar | beta = Teuchos::ScalarTraits< RangeScalar >::zero() | |||
) | const [pure virtual] |
Apply the forward non-conjugate or conjugate linear operator to a multi-vector : Y = alpha*M*X + beta*Y
.
conj | [in] Determines whether the elements are non-conjugate or conjugate. The value NONCONJ_ELE gives the standard forward operator while the value of CONJ_ELE gives the forward operator with the complex conjugate matrix elements. For a real-valued operators, this argument is ignored and has no effect. | |
X | [in] The right hand side multi-vector | |
Y | [in/out] The target multi-vector being transformed | |
alpha | [in] Scalar multiplying M , where M==*this . The default value of alpha is 1.0 | |
beta | [in] The multiplier for the target multi-vector Y . The default value of beta is 0.0 . |
this->applySupports(conj)==true
(throw Exceptions::OpNotSupported
) this->domain().get()!=NULL && this->range().get()!=NULL
(throw std::logic_error
) X.range()->isCompatible(this->domain()) == true
(throw Exceptions::IncompatibleVectorSpaces
) Y->range()->isCompatible(*this->range()) == true
(throw Exceptions::IncompatibleVectorSpaces
) Y->domain()->isCompatible(*X.domain()) == true
(throw Exceptions::IncompatibleVectorSpaces
) Y
can not alias X
. It is up to the client to ensure that Y
and X
are distinct since in general this can not be verified by the implementation until, perhaps, it is too late. If possible, an exception will be thrown if aliasing is detected. Postconditions:
Y
is transformed as indicated above. bool Thyra::LinearOpBase< RangeScalar, DomainScalar >::applySupports | ( | const EConj | conj | ) | const [virtual] |
Determines if apply()
supports this conj
argument.
The default implementation returns true
for real valued scalar types or when conj==NONCONJ_ELE
for complex valued types.
Definition at line 41 of file Thyra_LinearOpBase.hpp.
bool Thyra::LinearOpBase< RangeScalar, DomainScalar >::applyTransposeSupports | ( | const EConj | conj | ) | const [virtual] |
Determines if applyTranspose()
supports this conj
argument.
The default implementation returns false
which is consistent with the below default implementation for applyTranspose()
.
Definition at line 51 of file Thyra_LinearOpBase.hpp.
void Thyra::LinearOpBase< RangeScalar, DomainScalar >::applyTranspose | ( | const EConj | conj, | |
const MultiVectorBase< RangeScalar > & | X, | |||
MultiVectorBase< DomainScalar > * | Y, | |||
const DomainScalar | alpha = Teuchos::ScalarTraits< DomainScalar >::one() , |
|||
const DomainScalar | beta = Teuchos::ScalarTraits< DomainScalar >::zero() | |||
) | const [virtual] |
Apply the non-conjugate or conjugate transposed linear operator to a multi-vector : Y = alpha*trans(M)*X + beta*Y
.
conj | [in] Determines whether the elements are non-conjugate or conjugate. The value NONCONJ_ELE gives the standard transposed operator with non-conjugate transposed matrix elements while the value of CONJ_ELE gives the standard adjoint operator with the complex conjugate transposed matrix elements. For a real-valued operators, this argument is ignored and has no effect. | |
X | [in] The right hand side multi-vector | |
Y | [in/out] The target multi-vector being transformed | |
alpha | [in] Scalar multiplying M , where M==*this . The default value of alpha is 1.0 | |
beta | [in] The multiplier for the target multi-vector Y . The default value of beta is 0.0 . |
this->applyTransposeSupports(conj)==true
(throw Exceptions::OpNotSupported
) this->domain().get()!=NULL && this->range().get()!=NULL
(throw std::logic_error
) X.range()->isCompatible(this->range()) == true
(throw Exceptions::IncompatibleVectorSpaces
) Y->range()->isCompatible(*this->domain()) == true
(throw Exceptions::IncompatibleVectorSpaces
) Y->domain()->isCompatible(*X.domain()) == true
(throw Exceptions::IncompatibleVectorSpaces
) and X
are distinct since in general this can not be verified by the implementation until, perhaps, it is too late. If possible, an exception will be thrown if aliasing is detected. Y
can not alias X
. It is up to the client to ensure that Y
Postconditions:
Y
is transformed as indicated above. The default implementation throws an exception but gives a very good error message. The assumption here is that most linear operators will not be able to support an transpose apply and that is why this default implementation is provided.
Definition at line 59 of file Thyra_LinearOpBase.hpp.
RCP< const LinearOpBase< RangeScalar, DomainScalar > > Thyra::LinearOpBase< RangeScalar, DomainScalar >::clone | ( | ) | const [virtual] |
Clone the linear operator object (if supported).
The primary purpose for this function is to allow a client to capture the current state of a linear operator object and be guaranteed that some other client will not alter its behavior. A smart implementation will use reference counting and lazy evaluation internally and will not actually copy any large amount of data unless it has to.
The default implementation returns return.get()==NULL
which is allowable. A linear operator object is not required to return a non-NULL value but many good matrix-based linear operator implementations will.
Reimplemented in Thyra::MultiVectorBase< Scalar >.
Definition at line 80 of file Thyra_LinearOpBase.hpp.
bool opSupported | ( | const LinearOpBase< Scalar > & | M, | |
ETransp | M_trans | |||
) | [related] |
Determines if an operation is supported for a single scalar type.
Definition at line 378 of file Thyra_LinearOpBaseDecl.hpp.
void apply | ( | const LinearOpBase< RangeScalar, DomainScalar > & | M, | |
const EConj | conj, | |||
const MultiVectorBase< DomainScalar > & | X, | |||
MultiVectorBase< RangeScalar > * | Y, | |||
const RangeScalar | alpha = ScalarTraits<RangeScalar>::one() , |
|||
const RangeScalar | beta = ScalarTraits<RangeScalar>::zero() | |||
) | [related] |
Call LinearOpBase::apply()
as a global function call.
Calls M.apply(conj,X,Y,alpha,beta)
.
Definition at line 392 of file Thyra_LinearOpBaseDecl.hpp.
void applyTranspose | ( | const LinearOpBase< RangeScalar, DomainScalar > & | M, | |
const EConj | conj, | |||
const MultiVectorBase< RangeScalar > & | X, | |||
MultiVectorBase< DomainScalar > * | Y, | |||
const DomainScalar | alpha = ScalarTraits<DomainScalar>::one() , |
|||
const DomainScalar | beta = ScalarTraits<DomainScalar>::zero() | |||
) | [related] |
Call LinearOpBase::applyTranspose()
as a global function call.
Calls M.applyTranspose(conj,X,Y,alpha,beta)
.
Definition at line 412 of file Thyra_LinearOpBaseDecl.hpp.
void apply | ( | const LinearOpBase< Scalar > & | M, | |
const ETransp | M_trans, | |||
const MultiVectorBase< Scalar > & | X, | |||
MultiVectorBase< Scalar > * | Y, | |||
const Scalar | alpha = ScalarTraits<Scalar>::one() , |
|||
const Scalar | beta = ScalarTraits<Scalar>::zero() | |||
) | [related] |
Call LinearOpBase::apply()
or LinearOpBase::applyTranspose()
as a global function call (for a single scalar type).
Calls M.apply(...,X,Y,alpha,beta)
or M.applyTranspose(...,X,Y,alpha,beta)
.
Definition at line 435 of file Thyra_LinearOpBaseDecl.hpp.