Bivariate Gaussian parameter p(x,y) = c + p_center*exp( -( (x-mean_x)^2/sigma_x^2 + (y-mean_y)^2/sigma_y^2. More...

#include <parameter.h>

Inheritance diagram for nest::Gaussian2DParameter:

Public Member Functions
	Gaussian2DParameter (const DictionaryDatum &d)
	Parameters: c - constant offset p_center - value at center mean_x - x-coordinate of center mean_y - y-coordinate of center sigma_x - width in x-direction sigma_y - width in y-direction rho - correlation of x and y. More...

double_t	raw_value (const Position< 2 > &pos, librandom::RngPtr &) const
	Raw value disregarding cutoff. More...

double_t	raw_value (const Position< 3 > &pos, librandom::RngPtr &rng) const
	Raw value disregarding cutoff. More...

Parameter *	clone () const
	Clone method. More...

Public Member Functions inherited from nest::Parameter
	Parameter ()
	Default constructor. More...

	Parameter (double_t cutoff)
	Constructor. More...

	Parameter (const DictionaryDatum &d)
	Constructor Parameter that can be set in the Dictionary: cutoff - Values less than the cutoff are set to zero. More...

virtual	~Parameter ()
	Virtual destructor. More...

double_t	value (const Position< 2 > &p, librandom::RngPtr &rng) const

double_t	value (const Position< 3 > &p, librandom::RngPtr &rng) const

double_t	value (const std::vector< double_t > &pt, librandom::RngPtr &rng) const

virtual Parameter *	multiply_parameter (const Parameter &other) const
	Create the product of this parameter with another. More...

virtual Parameter *	divide_parameter (const Parameter &other) const
	Create the quotient of this parameter with another. More...

virtual Parameter *	add_parameter (const Parameter &other) const
	Create the sum of this parameter with another. More...

virtual Parameter *	subtract_parameter (const Parameter &other) const
	Create the difference of this parameter with another. More...

Private Attributes
double_t	c_

double_t	p_center_

double_t	mean_x_

double_t	sigma_x_

double_t	mean_y_

double_t	sigma_y_

double_t	rho_

Detailed Description

Bivariate Gaussian parameter p(x,y) = c + p_center*exp( -( (x-mean_x)^2/sigma_x^2 + (y-mean_y)^2/sigma_y^2.

2*rho*(x-mean_x)*(y-mean_y)/(sigma_x*sigma_y) ) / (2*(1-rho^2)) )

Constructor & Destructor Documentation

nest::Gaussian2DParameter::Gaussian2DParameter ( const DictionaryDatum & d )

Parameters: c - constant offset p_center - value at center mean_x - x-coordinate of center mean_y - y-coordinate of center sigma_x - width in x-direction sigma_y - width in y-direction rho - correlation of x and y.

References nest::names::c, c_, nest::names::d, nest::names::mean_x, mean_x_, nest::names::mean_y, mean_y_, nest::names::p_center, p_center_, nest::names::rho, rho_, nest::names::sigma_x, sigma_x_, nest::names::sigma_y, and sigma_y_.