Calculate and evalute field models (e.g. synthetic random fields, empirical random fields) More...

Classes
class	ApproximateRandomField
	an algorithm that computes new field samples from amplitudes and random field model More...

class	ComputeAmplitudes
	Decomposition of one or multiple random fields. More...

class	ComputeRandomFieldErrors
	Decomposition of one or multiple random fields. More...

class	ExternalRandomFieldModel< TYPE >
	Provides random field models. More...

class	FreeFormVariationModel< TYPE >
	Provides random field models. More...

class	GenerateRandomFields
	an algorithm that computes new field samples from amplitudes and scatter shapes The algorithm is essentially the same is the class FieldDesignsFromAmplitudes, but it is based on the data structures stored in class RandomFieldContainer. More...

class	PiecewiseConstantModel< TYPE >
	Provides random field models. More...

class	RandomFieldDecompositionFromSamples
	Decomposition of one or multiple random fields. More...

class	RandomFieldModel< TYPE >
	Provides random field models. More...

class	ReconstructData
	Data reconstruction of missing data items using one or multiple random fields. More...

Functions
Matrix	generateRandomIndices (number number, number max_number, size_t seed=std::time(NULL))

	template (ExternalRandomFieldModelNode) ExternalRandomFieldModel< NODE_DATA >

	template (ExternalRandomFieldModelElement) ExternalRandomFieldModel< ELEMENT_DATA >

	template (PiecewiseConstantModelNode) PiecewiseConstantModel< NODE_DATA >

	template (PiecewiseConstantModelElement) PiecewiseConstantModel< ELEMENT_DATA >

	template (FreeFormVariationModelNode) FreeFormVariationModel< NODE_DATA >

	template (FreeFormVariationModelElement) FreeFormVariationModel< ELEMENT_DATA >

	template (RandomFieldModelNode) RandomFieldModel< NODE_DATA >

	template (RandomFieldModelElement) RandomFieldModel< ELEMENT_DATA >

Detailed Description

Calculate and evalute field models (e.g. synthetic random fields, empirical random fields)

Function Documentation

Matrix generateRandomIndices	(	number	number,
		number	max_number,
		size_t	seed = `std::time(NULL)`
	)

Parameters

number	the number of indices
max_number	the number N of possible indices (0..N-1)
seed	the seed of thr random number generator