GaussianSampler Class Reference

#include <Samplers.h>

Inheritance diagram for GaussianSampler:

Collaboration diagram for GaussianSampler:

Public Member Functions
	~GaussianSampler ()
	GaussianSampler (float mean, float sigma)
float	shoot ()

Public Attributes
float	m_low {}
float	m_high {1.0}
float	m_val {}
TRandom	m_random

Private Attributes
float	m_mean {}
float	m_sigma {}

Detailed Description

Definition at line 169 of file Samplers.h.

Constructor & Destructor Documentation

~GaussianSampler()

GaussianSampler::~GaussianSampler ( )

inline

Definition at line 171 of file Samplers.h.

{};

GaussianSampler()

GaussianSampler::GaussianSampler ( float  mean, float  sigma  )

inline

Definition at line 172 of file Samplers.h.

                                          : UniformSampler (0, 1){
    m_mean = mean;
    m_sigma = sigma;
  }

Member Function Documentation

shoot()

float GaussianSampler::shoot ( )

inlinevirtual

Reimplemented from UniformSampler.

Definition at line 177 of file Samplers.h.

{ return m_random.Gaus(m_mean, m_sigma);};

Member Data Documentation

m_high

float UniformSampler::m_high {1.0}

inherited

Definition at line 61 of file Samplers.h.

m_low

float UniformSampler::m_low {}

inherited

Definition at line 61 of file Samplers.h.

m_mean

float GaussianSampler::m_mean {}

private

Definition at line 179 of file Samplers.h.

m_random

TRandom Sampler::m_random

inherited

Definition at line 25 of file Samplers.h.

m_sigma

float GaussianSampler::m_sigma {}

private

Definition at line 179 of file Samplers.h.

m_val

float Sampler::m_val {}

inherited

Definition at line 24 of file Samplers.h.

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

• Samplers.h