gsSolverOp< SolverType > Class Template Reference

Detailed Description

template<class SolverType>
class gismo::gsSolverOp< SolverType >

Simple adapter class to use an Eigen solver (having a compute() and a solve() method) as a linear operator.

Inheritance diagram for gsSolverOp< SolverType >:

Collaboration diagram for gsSolverOp< SolverType >:

Public Types
typedef memory::shared_ptr< gsSolverOp >	Ptr
	Shared pointer for gsSolverOp.
typedef memory::unique_ptr< gsSolverOp >	uPtr
	Unique pointer for gsSolverOp.

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
index_t	cols () const
	Returns the number of columns of the operator.
	gsSolverOp (const MatrixType &mat)
	Constructor taking a matrix.
	gsSolverOp (const memory::shared_ptr< MatrixType > &mat)
	Constructor taking a shared pointer.
index_t	rows () const
	Returns the number of rows of the operator.
virtual void	setOptions (const gsOptionList &)
	Set options based on a gsOptionList object.
SolverType &	solver ()
	Access the solver class.
const SolverType &	solver () const
	Access the solver class.

Static Public Member Functions
static gsOptionList	defaultOptions ()
	Get the default options as gsOptionList object.
static gsIdentityOp< SolverType::Scalar >	Identity (const index_t dim)
	Identity operator.
static uPtr	make (const MatrixType &mat)
	Make function taking a matrix OR a shared pointer.

Related Symbols
(Note that these are not member symbols.)
template<class T , int _Rows, int _Cols, int _Opt>
gsSolverOp< gsEigen::LDLT< gsEigen::Matrix< T, _Rows, _Cols, _Opt > > >::uPtr	makeCholeskySolver (const gsMatrix< T, _Rows, _Cols, _Opt > &mat)
	Convenience function to create a Cholesky (LDL^T) solver (for dense matrices) as a gsLinearOperator.
template<class T , int _Rows, int _Cols, int _Opt>
gsSolverOp< gsEigen::LDLT< gsEigen::Matrix< T, _Rows, _Cols, _Opt > > >::uPtr	makeCholeskySolver (const memory::shared_ptr< gsMatrix< T, _Rows, _Cols, _Opt > > &mat)
	Convenience function to create a Cholesky (LDL^T) solver (for dense matrices) as a gsLinearOperator taking a shared pointer.
template<class T , int _Rows, int _Cols, int _Opt>
gsSolverOp< gsEigen::FullPivLU< gsEigen::Matrix< T, _Rows, _Cols, _Opt > > >::uPtr	makeFullPivLUSolver (const gsMatrix< T, _Rows, _Cols, _Opt > &mat)
	Convenience function to create an LU solver with full pivoting (for dense matrices) as a gsLinearOperator.
template<class T , int _Rows, int _Cols, int _Opt>
gsSolverOp< gsEigen::FullPivLU< gsEigen::Matrix< T, _Rows, _Cols, _Opt > > >::uPtr	makeFullPivLUSolver (const memory::shared_ptr< gsMatrix< T, _Rows, _Cols, _Opt > > &mat)
	Convenience function to create an LU solver with full pivoting (for dense matrices) as a gsLinearOperator taking a shared pointer.
template<class T , int _Rows, int _Cols, int _Opt>
gsSolverOp< gsEigen::PartialPivLU< gsEigen::Matrix< T, _Rows, _Cols, _Opt > > >::uPtr	makePartialPivLUSolver (const gsMatrix< T, _Rows, _Cols, _Opt > &mat)
	Convenience function to create an LU solver with partial pivoting (for dense matrices) as a gsLinearOperator.
template<class T , int _Rows, int _Cols, int _Opt>
gsSolverOp< gsEigen::PartialPivLU< gsEigen::Matrix< T, _Rows, _Cols, _Opt > > >::uPtr	makePartialPivLUSolver (const memory::shared_ptr< gsMatrix< T, _Rows, _Cols, _Opt > > &mat)
	Convenience function to create an LU solver with partial pivoting (for dense matrices) as a gsLinearOperator taking a shared pointer.
template<typename T , int _Opt, typename _Index >
gsSolverOp< typenamegsSparseSolver< T >::SimplicialLDLT >::uPtr	makeSparseCholeskySolver (const gsSparseMatrix< T, _Opt, _Index > &mat)
	Convenience function to create a sparse Cholesky (simplicial LDL^T) solver as a gsLinearOperator.
template<typename T , int _Opt, typename _Index >
gsSolverOp< typenamegsSparseSolver< T >::SimplicialLDLT >::uPtr	makeSparseCholeskySolver (const memory::shared_ptr< gsSparseMatrix< T, _Opt, _Index > > &mat)
	Convenience function to create a sparse Cholesky (simplicial LDL^T) solver as a gsLinearOperator.
template<typename T , int _Opt, typename _Index >
gsSolverOp< typenamegsSparseSolver< T >::LU >::uPtr	makeSparseLUSolver (const gsSparseMatrix< T, _Opt, _Index > &mat)
	Convenience function to create a sparse LU solver as a gsLinearOperator.
template<typename T , int _Opt, typename _Index >
gsSolverOp< typenamegsSparseSolver< T >::LU >::uPtr	makeSparseLUSolver (const memory::shared_ptr< gsSparseMatrix< T, _Opt, _Index > > &mat)
	Convenience function to create a sparse LU solver as a gsLinearOperator taking a shared pointer.
template<typename T , int _Opt, typename _Index >
gsSolverOp< typenamegsSparseSolver< T >::QR >::uPtr	makeSparseQRSolver (const gsSparseMatrix< T, _Opt, _Index > &mat)
	Convenience function to create a sparse QR solver as a gsLinearOperator.
template<typename T , int _Opt, typename _Index >
gsSolverOp< typenamegsSparseSolver< T >::QR >::uPtr	makeSparseQRSolver (const memory::shared_ptr< gsSparseMatrix< T, _Opt, _Index > > &mat)
	Convenience function to create a sparse QR solver as a gsLinearOperator taking a shared pointer.

Member Function Documentation

apply()

template<class SolverType >

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< SolverType::Scalar >.

Friends And Related Symbol Documentation

makeCholeskySolver() [1/2]

template<class T , int _Rows, int _Cols, int _Opt>

gsSolverOp< gsEigen::LDLT< gsEigen::Matrix< T, _Rows, _Cols, _Opt > > >::uPtr makeCholeskySolver ( const gsMatrix< T, _Rows, _Cols, _Opt > &  mat )

related

Convenience function to create a Cholesky (LDL^T) solver (for dense matrices) as a gsLinearOperator.

Note

Works only on symmetric (stored in lower half) and positive (semi-)definite matrices.

makeCholeskySolver() [2/2]

template<class T , int _Rows, int _Cols, int _Opt>

gsSolverOp< gsEigen::LDLT< gsEigen::Matrix< T, _Rows, _Cols, _Opt > > >::uPtr makeCholeskySolver ( const memory::shared_ptr< gsMatrix< T, _Rows, _Cols, _Opt > > &  mat )

related

Convenience function to create a Cholesky (LDL^T) solver (for dense matrices) as a gsLinearOperator taking a shared pointer.

Note

Works only on symmetric (stored in lower half) and positive (semi-)definite matrices.

makeSparseCholeskySolver() [1/2]

template<typename T , int _Opt, typename _Index >

gsSolverOp< typenamegsSparseSolver< T >::SimplicialLDLT >::uPtr makeSparseCholeskySolver ( const gsSparseMatrix< T, _Opt, _Index > &  mat )

related

Convenience function to create a sparse Cholesky (simplicial LDL^T) solver as a gsLinearOperator.

Note

Works only on sparse, symmetric (stored in lower half) and positive definite matrices.

makeSparseCholeskySolver() [2/2]

template<typename T , int _Opt, typename _Index >

gsSolverOp< typenamegsSparseSolver< T >::SimplicialLDLT >::uPtr makeSparseCholeskySolver ( const memory::shared_ptr< gsSparseMatrix< T, _Opt, _Index > > &  mat )

related

Convenience function to create a sparse Cholesky (simplicial LDL^T) solver as a gsLinearOperator.

Note

Works only on sparse, symmetric (stored in lower half) and positive definite matrices taking a shared pointer.

makeSparseLUSolver() [1/2]

template<typename T , int _Opt, typename _Index >

gsSolverOp< typenamegsSparseSolver< T >::LU >::uPtr makeSparseLUSolver ( const gsSparseMatrix< T, _Opt, _Index > &  mat )

related

Convenience function to create a sparse LU solver as a gsLinearOperator.

Note

This uses the default COLAMD column ordering.

makeSparseLUSolver() [2/2]

template<typename T , int _Opt, typename _Index >

gsSolverOp< typenamegsSparseSolver< T >::LU >::uPtr makeSparseLUSolver ( const memory::shared_ptr< gsSparseMatrix< T, _Opt, _Index > > &  mat )

related

Convenience function to create a sparse LU solver as a gsLinearOperator taking a shared pointer.

Note

This uses the default COLAMD column ordering.

makeSparseQRSolver() [1/2]

template<typename T , int _Opt, typename _Index >

gsSolverOp< typenamegsSparseSolver< T >::QR >::uPtr makeSparseQRSolver ( const gsSparseMatrix< T, _Opt, _Index > &  mat )

related

Convenience function to create a sparse QR solver as a gsLinearOperator.

Note

This uses the default COLAMD column ordering.

makeSparseQRSolver() [2/2]

template<typename T , int _Opt, typename _Index >

gsSolverOp< typenamegsSparseSolver< T >::QR >::uPtr makeSparseQRSolver ( const memory::shared_ptr< gsSparseMatrix< T, _Opt, _Index > > &  mat )

related

Convenience function to create a sparse QR solver as a gsLinearOperator taking a shared pointer.

Note

This uses the default COLAMD column ordering.