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OpenLB 1.7
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AnalyticalRandomNormal: DD -> 1D with random image in (0,1) Normal distribution cut off outside [mean-n*stdDev, mean+n*stdDev]. More...
#include <analyticalF.h>
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 | |
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AnalyticalRandomNormal (T mean=0., T stdDev=1.) | |
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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) |
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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 | |
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using | identity_functor_type = AnalyticalIdentity<D,T,S> |
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using | targetType = T |
using | sourceType = S |
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std::shared_ptr< GenericF< T, S > > | _ptrCalcC |
memory management, frees resouces (calcClass) | |
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static constexpr unsigned | dim = D |
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AnalyticalRandomBase () | |
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AnalyticalF (int n) | |
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GenericF (int targetDim, int sourceDim) | |
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std::normal_distribution< T > | distro |
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std::random_device | rd |
std::mt19937 | gen |
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.
olb::AnalyticalRandomTruncatedNormal< D, T, S >::AnalyticalRandomTruncatedNormal | ( | T | mean = 0., |
T | stdDev = 1., | ||
T | n = 3. ) |
Definition at line 216 of file analyticalF.hh.
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overridevirtual |
has to be implemented for 'every' derived class
Reimplemented from olb::AnalyticalRandomNormal< D, T, S >.
Definition at line 223 of file analyticalF.hh.