Simplex noise in the plane. More...

#include <noise.h>

Inheritance diagram for SimplexNoise2:

Public Member Functions
	SimplexNoise2 ()
	Empty.

	~SimplexNoise2 ()
	Empty.

double	Value (const Vector2 &) const
	Compute the simplex noise at a given point. More...

double	K () const
	Return the global Lipschitz constant of the noise.

Public Member Functions inherited from AnalyticScalarField2
	AnalyticScalarField2 ()
	Create an analytic scalar field defined over the entire plane.

virtual Vector2	Gradient (const Vector2 &) const
	Compute the gradient of the field. More...

virtual Matrix2	Hessian (const Vector2 &) const
	Compute the hessian at a given point. More...

virtual ScalarField2	Sample (const Array2 &) const
	Create a discrete scalar field by sampling a given domain. More...

void	Curvature (const Vector2 &, double &, double &) const
	Compute the gaussian and mean curvatures. More...

virtual Box2	GetBox () const
	Return the bounding box.

Protected Member Functions
double	dot (const int *, const double &, const double &) const
	Scalar product.

Protected Member Functions inherited from AnalyticScalarField2
Matrix	Local (const Vector2 &) const
	Compute the local neighborhood in the one-ring aroung a point. More...

Static Protected Attributes
static const int	grad2 [8][2]
	Array of gradients for 2D noise.

static const int	perm [512]
	Permutation table, 256 entries duplicated once to avoid modulo computations.

static const double	G2 = (3.0 - sqrt(3.0)) / 6.0
	Unskew factors for planar case.

Static Protected Attributes inherited from AnalyticScalarField2
static const double	epsilon = 1e-6
	\epsilon; value for partial derivatives

Additional Inherited Members
Protected Attributes inherited from AnalyticScalarField2
Box2	box = Box2::Infinity
	Domain, set as infinite for base class.

Detailed Description

Simplex noise in the plane.

Simplex noise functions return random values in [-1,+1] interval.

Member Function Documentation

double SimplexNoise2::Value ( const Vector2 & p ) const

virtual

Compute the simplex noise at a given point.

Parameters

p Point.