Description

Gaussian distribution with standard deviation std_dev.

Inheritance diagram for RangedDistributionGaussian:

Public Member Functions
	RangedDistributionGaussian ()

	RangedDistributionGaussian (size_t n_samples, double sigma_factor, const RealLimits &limits=RealLimits::limitless())

	RangedDistributionGaussian (size_t n_samples, double sigma_factor, double min, double max)
	Initializes Ranged distribution with given number of samples, sigma factor (range in standard deviations to take into account during sample generation) and limits (either RealLimits object or just min and max limits). By default n_samples = 5, sigma_factor = 2.0, while the limits are (-inf, +inf). More...

	~RangedDistributionGaussian () override=default

RangedDistributionGaussian *	clone () const override

std::string	name () const override
	Returns distribution name for python-formatted text. More...

Protected Member Functions
IDistribution1D *	distribution_impl (double mean, double stddev) const override
	Returns underlying IDistribution1D object. More...

Constructor & Destructor Documentation

◆ RangedDistributionGaussian() [1/3]

RangedDistributionGaussian::RangedDistributionGaussian ( )

◆ RangedDistributionGaussian() [2/3]

RangedDistributionGaussian::RangedDistributionGaussian	(	size_t	n_samples,
		double	sigma_factor,
		const RealLimits &	limits = `RealLimits::limitless()`
	)

◆ RangedDistributionGaussian() [3/3]

RangedDistributionGaussian::RangedDistributionGaussian	(	size_t	n_samples,
		double	sigma_factor,
		double	min,
		double	max
	)

Initializes Ranged distribution with given number of samples, sigma factor (range in standard deviations to take into account during sample generation) and limits (either RealLimits object or just min and max limits). By default n_samples = 5, sigma_factor = 2.0, while the limits are (-inf, +inf).

◆ ~RangedDistributionGaussian()

RangedDistributionGaussian::~RangedDistributionGaussian ( )

overridedefault

Member Function Documentation

◆ clone()

RangedDistributionGaussian* RangedDistributionGaussian::clone ( ) const

override

◆ distribution_impl()

IDistribution1D* RangedDistributionGaussian::distribution_impl	(	double	mean,
		double	stddev
	)		const

overrideprotected

Returns underlying IDistribution1D object.

◆ name()

std::string RangedDistributionGaussian::name ( ) const