AnalyticalRandomNormal: DD -> 1D with random image in (0,1) Normal distribution cut off outside [mean-n*stdDev, mean+n*stdDev]. More...

Inheritance diagram for olb::AnalyticalRandomTruncatedNormal< D, T, S >:

Collaboration diagram for olb::AnalyticalRandomTruncatedNormal< D, T, S >:

Public Member Functions
	AnalyticalRandomTruncatedNormal (T mean=0., T stdDev=1., T n=3.)

bool	operator() (T output[], const S x[]) override
	has to be implemented for 'every' derived class

Public Member Functions inherited from olb::AnalyticalRandomNormal< D, T, S >
	AnalyticalRandomNormal (T mean=0., T stdDev=1.)

Public Member Functions inherited from olb::AnalyticalF< D, T, S >
AnalyticalF< D, T, S > &	operator- (AnalyticalF< D, T, S > &rhs)

AnalyticalF< D, T, S > &	operator+ (AnalyticalF< D, T, S > &rhs)

AnalyticalF< D, T, S > &	operator* (AnalyticalF< D, T, S > &rhs)

AnalyticalF< D, T, S > &	operator/ (AnalyticalF< D, T, S > &rhs)

Public Member Functions inherited from olb::GenericF< T, S >
virtual	~GenericF ()=default

int	getSourceDim () const
	read only access to member variable _m

int	getTargetDim () const
	read only access to member variable _n

std::string &	getName ()
	read and write access to name

std::string const &	getName () const
	read only access to name

bool	operator() (T output[])
	wrapper that call the pure virtual operator() (T output[], const S input[]) from above

bool	operator() (T output[], S input0)

bool	operator() (T output[], S input0, S input1)

bool	operator() (T output[], S input0, S input1, S input2)

bool	operator() (T output[], S input0, S input1, S input2, S input3)

Additional Inherited Members
Public Types inherited from olb::AnalyticalF< D, T, S >
using	identity_functor_type = AnalyticalIdentity<D,T,S>

Public Types inherited from olb::GenericF< T, S >
using	targetType = T

using	sourceType = S

Public Attributes inherited from olb::GenericF< T, S >
std::shared_ptr< GenericF< T, S > >	_ptrCalcC
	memory management, frees resouces (calcClass)

Static Public Attributes inherited from olb::AnalyticalF< D, T, S >
static constexpr unsigned	dim = D

Protected Member Functions inherited from olb::AnalyticalRandomBase< D, T, S >
	AnalyticalRandomBase ()

Protected Member Functions inherited from olb::AnalyticalF< D, T, S >
	AnalyticalF (int n)

Protected Member Functions inherited from olb::GenericF< T, S >
	GenericF (int targetDim, int sourceDim)

Protected Attributes inherited from olb::AnalyticalRandomNormal< D, T, S >
std::normal_distribution< T >	distro

Protected Attributes inherited from olb::AnalyticalRandomBase< D, T, S >
std::random_device	rd

std::mt19937	gen

Detailed Description

template<unsigned D, typename T, typename S>
class olb::AnalyticalRandomTruncatedNormal< D, T, S >

AnalyticalRandomNormal: DD -> 1D with random image in (0,1) Normal distribution cut off outside [mean-n*stdDev, mean+n*stdDev].

Definition at line 163 of file analyticalF.h.

Constructor & Destructor Documentation

template<unsigned D, typename T , typename S >

olb::AnalyticalRandomTruncatedNormal< D, T, S >::AnalyticalRandomTruncatedNormal	(	T	mean = 0.,
		T	stdDev = 1.,
		T	n = 3. )

Definition at line 216 of file analyticalF.hh.

  : AnalyticalRandomNormal<D,T,S>(mean, stdDev),
    _min(mean - n*stdDev),
    _max(mean + n*stdDev)
{ }

template<unsigned D, typename T , typename S >

bool olb::AnalyticalRandomTruncatedNormal< D, T, S >::operator()	(	T	output[],
		const S	input[] )

overridevirtual

has to be implemented for 'every' derived class

Definition at line 223 of file analyticalF.hh.

{
  do {
    output[0] = this->distro(this->gen);
  }
  while (output[0] < _min || output[0] > _max);
  return true;
}

The documentation for this class was generated from the following files: