OpenLB 1.7
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Public Member Functions | Protected Attributes | List of all members
olb::AnalyticalRandomNormal< D, T, S > Class Template Reference

AnalyticalRandomNormal: DD -> 1D with random image in (0,1) More...

#include <analyticalF.h>

+ Inheritance diagram for olb::AnalyticalRandomNormal< D, T, S >:
+ Collaboration diagram for olb::AnalyticalRandomNormal< D, T, S >:

Public Member Functions

 AnalyticalRandomNormal (T mean=0., T stdDev=1.)
 
bool operator() (T output[], const S x[]) override
 has to be implemented for 'every' derived class
 
- 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)
 

Protected Attributes

std::normal_distribution< T > distro
 
- Protected Attributes inherited from olb::AnalyticalRandomBase< D, T, S >
std::random_device rd
 
std::mt19937 gen
 

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)
 

Detailed Description

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

AnalyticalRandomNormal: DD -> 1D with random image in (0,1)

Definition at line 142 of file analyticalF.h.

Constructor & Destructor Documentation

◆ AnalyticalRandomNormal()

template<unsigned D, typename T , typename S >
olb::AnalyticalRandomNormal< D, T, S >::AnalyticalRandomNormal ( T mean = 0.,
T stdDev = 1. )

Definition at line 189 of file analyticalF.hh.

190 : AnalyticalRandomBase<D,T,S>(),
191 distro{mean, stdDev}
192{ }
std::normal_distribution< T > distro

Member Function Documentation

◆ operator()()

template<unsigned D, typename T , typename S >
bool olb::AnalyticalRandomNormal< D, T, S >::operator() ( T output[],
const S input[] )
overridevirtual

has to be implemented for 'every' derived class

Implements olb::GenericF< T, S >.

Reimplemented in olb::AnalyticalRandomTruncatedNormal< D, T, S >, and olb::AnalyticalRandomTruncatedNormal< 3, T, T >.

Definition at line 195 of file analyticalF.hh.

196{
197 output[0] = distro(this->gen);
198 return true;
199}

Member Data Documentation

◆ distro

template<unsigned D, typename T , typename S >
std::normal_distribution<T> olb::AnalyticalRandomNormal< D, T, S >::distro
protected

Definition at line 147 of file analyticalF.h.


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