The ginkgo Solve namespace. More...

Namespaces
namespace	multigrid
	The solver multigrid namespace.

Classes
class	ApplyWithInitialGuess
	ApplyWithInitialGuess provides a way to give the input guess for apply function. More...
class	Bicg
	BICG or the Biconjugate gradient method is a Krylov subspace solver. More...
class	Bicgstab
	BiCGSTAB or the Bi-Conjugate Gradient-Stabilized is a Krylov subspace solver. More...
class	CbGmres
	CB-GMRES or the compressed basis generalized minimal residual method is an iterative type Krylov subspace method which is suitable for nonsymmetric linear systems. More...
class	Cg
	CG or the conjugate gradient method is an iterative type Krylov subspace method which is suitable for symmetric positive definite methods. More...
class	Cgs
	CGS or the conjugate gradient square method is an iterative type Krylov subspace method which is suitable for general systems. More...
class	Chebyshev
	Chebyshev iteration is an iterative method for solving nonsymmetric problems based on some knowledge of the spectrum of the (preconditioned) system matrix. More...
struct	enable_iterative_solver_factory_parameters
struct	enable_preconditioned_iterative_solver_factory_parameters
class	EnableApplyWithInitialGuess
	EnableApplyWithInitialGuess providing default operation for ApplyWithInitialGuess with correct validation and log. More...
class	EnableIterativeBase
	A LinOp deriving from this CRTP class stores a stopping criterion factory and allows applying with a guess. More...
class	EnablePreconditionable
	Mixin providing default operation for Preconditionable with correct value semantics. More...
class	EnablePreconditionedIterativeSolver
	A LinOp implementing this interface stores a system matrix and stopping criterion factory. More...
class	EnableSolverBase
	A LinOp deriving from this CRTP class stores a system matrix. More...
class	Factory
class	Fcg
	FCG or the flexible conjugate gradient method is an iterative type Krylov subspace method which is suitable for symmetric positive definite methods. More...
class	Gcr
	GCR or the generalized conjugate residual method is an iterative type Krylov subspace method similar to GMRES which is suitable for nonsymmetric linear systems. More...
class	Gmres
	GMRES or the generalized minimal residual method is an iterative type Krylov subspace method which is suitable for nonsymmetric linear systems. More...
struct	has_with_criteria
	Helper structure to test if the Factory of SolverType has a function with_criteria. More...
struct	has_with_criteria< SolverType, std::void_t< decltype(SolverType::build().with_criteria(std::shared_ptr< const stop::CriterionFactory >()))> >
	Helper structure to test if the Factory of SolverType has a function with_criteria.
class	Idr
	IDR(s) is an efficient method for solving large nonsymmetric systems of linear equations. More...
class	IterativeBase
	A LinOp implementing this interface stores a stopping criterion factory. More...
class	LowerTrs
	LowerTrs is the triangular solver which solves the system L x = b, when L is a lower triangular matrix. More...
class	Minres
	Minres is an iterative type Krylov subspace method, which is suitable for indefinite and full-rank symmetric/hermitian operators. More...
class	Multigrid
	Multigrid methods have a hierarchy of many levels, whose corase level is a subset of the fine level, of the problem. More...
struct	parameters_type
class	PipeCg
	PIPE_CG or the pipelined conjugate gradient method is an iterative type Krylov subspace method which is suitable for symmetric positive definite methods. More...
class	SolverBase
class	UpperTrs
	UpperTrs is the triangular solver which solves the system U x = b, when U is an upper triangular matrix. More...
struct	workspace_traits
	Traits class providing information on the type and location of workspace vectors inside a solver. More...
struct	workspace_traits< Bicg< ValueType > >
struct	workspace_traits< Bicgstab< ValueType > >
struct	workspace_traits< Cg< ValueType > >
struct	workspace_traits< Cgs< ValueType > >
struct	workspace_traits< Chebyshev< ValueType > >
struct	workspace_traits< Fcg< ValueType > >
struct	workspace_traits< Gcr< ValueType > >
struct	workspace_traits< gko::experimental::solver::Direct< ValueType, IndexType > >
struct	workspace_traits< Gmres< ValueType > >
struct	workspace_traits< Idr< ValueType > >
struct	workspace_traits< LowerTrs< ValueType, IndexType > >
struct	workspace_traits< Minres< ValueType > >
struct	workspace_traits< Multigrid >
struct	workspace_traits< PipeCg< ValueType > >
struct	workspace_traits< UpperTrs< ValueType, IndexType > >

Enumerations
enum class	initial_guess_mode { zero , rhs , provided }
	Give a initial guess mode about the input of the apply method. More...
enum class	trisolve_algorithm { sparselib , syncfree }
	A helper for algorithm selection in the triangular solvers. More...

Functions
bool	apply_uses_initial_guess () const override
	Iterative refinement (IR) is an iterative method that uses another coarse method to approximate the error of the current solution via the current residual.
std::shared_ptr< const LinOp >	get_solver () const
	Returns the solver operator used as the inner solver.
void	set_solver (std::shared_ptr< const LinOp > new_solver)
	Sets the solver operator used as the inner solver.
Ir &	operator= (const Ir &)
	Copy-assigns an IR solver.
Ir &	operator= (Ir &&)
	Move-assigns an IR solver.
	Ir (const Ir &)
	Copy-constructs an IR solver.
	Ir (Ir &&)
	Move-constructs an IR solver.
const parameters_type &	get_parameters () const

Variables
constexpr size_type	gcr_default_krylov_dim = 100u
constexpr size_type	default_krylov_dim = 100u
constexpr size_type	gmres_default_krylov_dim = 100u

Detailed Description

The ginkgo Solve namespace.

The ginkgo Solver namespace.

Enumeration Type Documentation

◆ initial_guess_mode

enum class gko::solver::initial_guess_mode

strong

Give a initial guess mode about the input of the apply method.

Enumerator
zero	the input is zero
rhs	the input is right hand side
provided	the input is provided

◆ trisolve_algorithm

enum class gko::solver::trisolve_algorithm

strong

A helper for algorithm selection in the triangular solvers.

It currently only matters for the Cuda executor as there, we have a choice between the Ginkgo syncfree and cuSPARSE implementations.

Function Documentation

◆ get_solver()

std::shared_ptr< const LinOp > gko::solver::get_solver ( ) const

Returns the solver operator used as the inner solver.

Returns: the solver operator used as the inner solver

References get_solver().

Referenced by get_solver().

◆ Ir() [1/2]

gko::solver::Ir ( const Ir & )

Copy-constructs an IR solver.

Inherits the executor, shallow-copies inner solver, stopping criterion and system matrix.

References Ir().

Referenced by Ir(), Ir(), operator=(), and operator=().

◆ Ir() [2/2]

gko::solver::Ir ( Ir && )

Move-constructs an IR solver.

Preserves the executor, moves inner solver, stopping criterion and system matrix. The moved-from object is empty (0x0 and nullptr inner solver, stopping criterion and system matrix)

References Ir().

◆ operator=() [1/2]

Ir & gko::solver::operator= ( const Ir & )

Copy-assigns an IR solver.

Preserves the executor, shallow-copies inner solver, stopping criterion and system matrix. If the executors mismatch, clones inner solver, stopping criterion and system matrix onto this executor.

References Ir(), and operator=().

Referenced by operator=(), and operator=().

◆ operator=() [2/2]

Ir & gko::solver::operator= ( Ir && )

Move-assigns an IR solver.

Preserves the executor, moves inner solver, stopping criterion and system matrix. If the executors mismatch, clones inner solver, stopping criterion and system matrix onto this executor. The moved-from object is empty (0x0 and nullptr inner solver, stopping criterion and system matrix)

References Ir(), and operator=().

◆ set_solver()

void gko::solver::set_solver ( std::shared_ptr< const LinOp > new_solver )

Sets the solver operator used as the inner solver.

Parameters

new_solver the new inner solver

References set_solver().

Referenced by set_solver().

Variable Documentation

◆ default_krylov_dim

size_type gko::solver::default_krylov_dim = 100u

constexpr

Namespaces

Classes

Enumerations

Functions

Variables