Library of Assembled Shared Sources
Distribution

Detailed Description

A set of distribution for random numbers.

distribution classes:

backwards compatible functions:

Data Structures

class  lass::num::DistributionUniform< T, RandomGenerator, rangeType >
 a uniform distribution mapper. More...
 
class  lass::num::DistributionExponential< T, RandomGenerator >
 an exponential distribution mapper. More...
 
class  lass::num::DistributionNormal< T, RandomGenerator >
 a normal distribution mapper (aka guassian distribution) More...
 

Enumerations

enum  lass::num::RangeType { lass::num::rtClosed = 0x0 , lass::num::rtRightOpen = 0x1 , lass::num::rtLeftOpen = 0x2 , lass::num::rtOpen = 0x3 }
 enumeration indicating how a real-number range must be closed. More...
 

Functions

template<class T, class RG>
lass::num::uniform (RG &generator)
 
template<class T, class RG>
lass::num::unitGauss (RG &generator)
 
template<class T, class RG>
lass::num::gauss (RG &generator, typename util::CallTraits< T >::TParam mean, typename util::CallTraits< T >::TParam stddev)
 

Enumeration Type Documentation

◆ RangeType

enumeration indicating how a real-number range must be closed.

Enumerator
rtClosed 

range is closed on both sides: [inf, sup]

rtRightOpen 

range is open to the right: [inf, sup)

rtLeftOpen 

range is open to the left: (inf, sup]

rtOpen 

range is open to both sides: (inf, sup)

Definition at line 76 of file distribution.h.

Function Documentation

◆ uniform()

template<class T, class RG>
T lass::num::uniform ( RG & generator)
Returns
a uniform random sample from [0,1]

Definition at line 296 of file distribution.inl.

◆ unitGauss()

template<class T, class RG>
T lass::num::unitGauss ( RG & generator)
Returns
a gaussian distributed (aka normal distributed) random with mean 0 and stddev 1

Definition at line 306 of file distribution.inl.

◆ gauss()

template<class T, class RG>
T lass::num::gauss ( RG & generator,
typename util::CallTraits< T >::TParam mean,
typename util::CallTraits< T >::TParam stddev )
Returns
a gaussian distributed (aka normal distributed) random sample with mean and stddev stddev

Definition at line 317 of file distribution.inl.