#include <KeBC.h>

Inheritance diagram for KeModelOptions< T >:

Collaboration diagram for KeModelOptions< T >:

Public Member Functions
	KeModelOptions ()

LinearSolver &	getLinearSolver ()

Public Member Functions inherited from FloatVarDict< T >
bool	hasVar (const string varName) const

T	operator[] (const string varName) const

bool	isField (const string varName) const

Field &	getField (const string varName) const

FloatVal< T >	getVal (const string varName) const

Public Attributes
bool	printNormalizedResiduals

bool	transient

int	timeDiscretizationOrder

double	relativeTolerance

double	absoluteTolerance

double	cmu

double	c2mu

double	c1mu

double	vk

double	emp

double	sigmak

double	sigmae

bool	useCentralDifference

LinearSolver *	linearSolver

Additional Inherited Members
Public Types inherited from FloatVarDict< T >
typedef map< string, FloatVal < T > >	T_Parent

Protected Member Functions inherited from FloatVarDict< T >
void	defineVar (const string varName, const T defaultValue)

Detailed Description

template<class T>
struct KeModelOptions< T >

Definition at line 36 of file KeBC.h.

Constructor & Destructor Documentation

template<class T>

KeModelOptions< T >::KeModelOptions ( )

inline

Definition at line 38 of file KeBC.h.

   {
     this->defineVar("timeStep",T(0.1));
     this->relativeTolerance=1e-7;
     this->absoluteTolerance=1e-7;
     this->defineVar("energyURF",T(0.8));
     this->defineVar("dissipationURF",T(0.8));
     this->linearSolver = 0;
     this->useCentralDifference=false;
     this->transient = false;
     this->timeDiscretizationOrder=1;
     this-> cmu=0.09;
     this-> c2mu=1.92;
     this-> c1mu=1.44;
     this-> vk=0.4187;
     this-> emp=9.793;
     this-> sigmak =1.0;
     this-> sigmae =1.3;
     this->printNormalizedResiduals = true;
 
  }     

Member Function Documentation

template<class T>

LinearSolver& KeModelOptions< T >::getLinearSolver ( )

inline

Definition at line 76 of file KeBC.h.

   {
     if (this->linearSolver == 0)
     {
         LinearSolver* ls(new  AMG());
         ls->relativeTolerance = 1e-1;
         ls->nMaxIterations = 20;
         ls->verbosity=0;
         this->linearSolver = ls;
     }
     return *this->linearSolver ;
   }