Inheritance diagram for Distribution2DCauchySampler:

Collaboration diagram for Distribution2DCauchySampler:

Public Member Functions
	Distribution2DCauchySampler (double omega_x, double omega_y)

std::pair< double, double >	randomSample () const final

Private Attributes
double	m_omega_x

double	m_omega_y

Detailed Description

Definition at line 33 of file IDistribution2DSampler.h.

Constructor & Destructor Documentation

◆ Distribution2DCauchySampler()

Distribution2DCauchySampler::Distribution2DCauchySampler	(	double	omega_x,
		double	omega_y
	)

inline

Definition at line 35 of file IDistribution2DSampler.h.

         : m_omega_x(omega_x), m_omega_y(omega_y)
     {
     }

Member Function Documentation

◆ randomSample()

std::pair< double, double > Distribution2DCauchySampler::randomSample ( ) const

finalvirtual

Implements IDistribution2DSampler.

Definition at line 128 of file IDistribution2DSampler.cpp.

 {
     // Use Ziggurat sampling instead of Inverse Transform Sampling (ITS requires numerical solver)
  
     double phi_max_Cauchy = 1.0;
     // rightmost box's right-edge from phi_max_Cauchy for Ziggurat Sampling
     double r = sigma_scale * std::sqrt(2); // standard dev of func_phi_Cauchy is sqrt(2)
     std::pair<double, double> samples = samplingZiggurat(r, phi_max_Cauchy, func_phi_Cauchy);
     return std::make_pair(m_omega_x * samples.first * std::cos(samples.second),
                           m_omega_y * samples.first * std::sin(samples.second));
 }

References m_omega_x, and m_omega_y.

Member Data Documentation

◆ m_omega_x

double Distribution2DCauchySampler::m_omega_x

private

Definition at line 42 of file IDistribution2DSampler.h.

Referenced by randomSample().

◆ m_omega_y

double Distribution2DCauchySampler::m_omega_y