LU Class Reference

LU-Decomposition exact solver. More...

Inheritance diagram for LU:

Public Member Functions
bool	apply (Vector *u, const Vector *f)
	Solve A*u = f, such that u = A^{-1} f by iterating u := u + B(f - A*u), f remains constant. More...
bool	apply_return_defect (Vector *u, Vector *f)
	Solve A*u = f, such that u = A^{-1} f by iterating u := u + B(f - A*u), f := f - A*u becomes new defect. More...
bool	apply_update_defect (Vector *unnamed, Vector *unnamed)
SmartPtr< ILinearIterator >	clone ()
	returns a clone of the object which can be modified independently More...
std::string	config_string () const
ConstSmartPtr< IConvergenceCheck >	convergence_check () const
double	defect () const
bool	init (SmartPtr< ILinearOperator > unnamed)
	LU ()
const char *	name () const
double	reduction () const
void	set_convergence_check (SmartPtr< IConvergenceCheck > unnamed)
void	set_damp (double damp)
	set the damping to a number More...
void	set_info (bool bInfo)
	if true, sparse LU prints some fill-in info More...
void	set_minimum_for_sparse (size_t N)
void	set_show_progress (bool onoff)
	switches the progress indicator on/off More...
void	set_sort_sparse (bool bSort)
	if bSort=true, use a cuthill-mckey sorting to reduce fill-in in sparse LU. default true More...
int	step () const

Detailed Description

LU-Decomposition exact solver.

Note

default specialization is LUCPU1

See also

ug::LU

Constructor & Destructor Documentation

LU()

LU

(

)

Member Function Documentation

apply()

bool apply ( Vector *  u, const Vector *  f  )

inlineinherited

Solve A*u = f, such that u = A^{-1} f by iterating u := u + B(f - A*u), f remains constant.

Parameters

[in]	u
[in]	f

Returns

Success

References ILinearOperatorInverse< X, Y >::apply().

apply_return_defect()

bool apply_return_defect ( Vector *  u, Vector *  f  )

inlineinherited

Solve A*u = f, such that u = A^{-1} f by iterating u := u + B(f - A*u), f := f - A*u becomes new defect.

Parameters

[in]	u
[in]	f

Returns

Success

References ILinearOperatorInverse< X, Y >::apply_return_defect().

apply_update_defect()

bool apply_update_defect ( Vector *  unnamed, Vector *  unnamed  )

inlineinherited

Parameters

[in]	unnamed
[in]	unnamed

References ILinearIterator< X, Y >::apply_update_defect().

clone()

SmartPtr<ILinearIterator> clone ( )

inlineinherited

returns a clone of the object which can be modified independently

Returns

SmartPointer to a copy of this object

References ILinearIterator< X, Y >::clone().

config_string()

std::string config_string ( ) const

inlineinherited

References ILinearOperatorInverse< X, Y >::config_string().

convergence_check()

ConstSmartPtr<IConvergenceCheck> convergence_check ( ) const

inlineinherited

References ILinearOperatorInverse< X, Y >::convergence_check().

defect()

double defect ( ) const

inlineinherited

Returns

the current defect

References ILinearOperatorInverse< X, Y >::defect().

init()

bool init ( SmartPtr< ILinearOperator >  unnamed )

inlineinherited

Parameters

[in]

unnamed

References ILinearOperatorInverse< X, Y >::init().

name()

const char* name ( ) const

inlineinherited

References ILinearIterator< X, Y >::name().

reduction()

double reduction ( ) const

inlineinherited

Returns

the current relative reduction

References ILinearOperatorInverse< X, Y >::reduction().

set_convergence_check()

void set_convergence_check ( SmartPtr< IConvergenceCheck >  unnamed )

inlineinherited

Parameters

[in]

unnamed

References ILinearOperatorInverse< X, Y >::set_convergence_check().

set_damp()

void set_damp ( double  damp )

inlineinherited

set the damping to a number

Parameters

[in]

damp

References ILinearIterator< X, Y >::set_damp().

set_info()

void set_info ( bool  bInfo )

inline

if true, sparse LU prints some fill-in info

Parameters

[in]

bInfo

References LU< class >::set_info().

set_minimum_for_sparse()

void set_minimum_for_sparse ( size_t  N )

inline

Parameters

[in]

N

References LU< class >::set_minimum_for_sparse().

set_show_progress()

void set_show_progress ( bool  onoff )

inline

switches the progress indicator on/off

Parameters

[in]

onoff

References LU< class >::set_show_progress().

set_sort_sparse()

void set_sort_sparse ( bool  bSort )

inline

if bSort=true, use a cuthill-mckey sorting to reduce fill-in in sparse LU. default true

Parameters

[in]

bSort

References LU< class >::set_sort_sparse().

step()

int step ( ) const

inlineinherited

Returns

the current number of steps

References ILinearOperatorInverse< X, Y >::step().