RandomDirection

class RandomDirection(*args)

Sampling following the random direction strategy.

Parameters:
dimensionint

The dimension of the standard space. By default, dimension = 0 but automatically updated by the calling class.

See also

OrthogonalDirection

Notes

The RandomDirection strategy is the following : we generate some points on the sphere unity in the standard space according to the uniform distribution and we consider both opposite directions so built.

Methods

generate()

Generate the sample.

getClassName()

Accessor to the object's name.

getDimension()

Accessor to the dimension.

getName()

Accessor to the object's name.

getUniformUnitVectorRealization(*args)

Accessor to a realization according to the uniform distribution.

hasName()

Test if the object is named.

setDimension(dimension)

Accessor to the dimension.

setName(name)

Accessor to the object's name.
__init__(*args)
generate()

Generate the sample.

Returns:
sampleSample

The sample generated in two opposite random directions.

getClassName()

Accessor to the object’s name.

Returns:
class_namestr

The object class name (object.__class__.__name__).

getDimension()

Accessor to the dimension.

Returns:
dimensionint

Dimension of the standard space.

getName()

Accessor to the object’s name.

Returns:
namestr

The name of the object.

getUniformUnitVectorRealization(*args)

Accessor to a realization according to the uniform distribution.

Parameters:
dimensionint

The dimension of the sphere unity (which is the dimension of the standard space).

Returns:
samplePoint

The realization of a vector on the sphere unity, according to the uniform distribution.

hasName()

Test if the object is named.

Returns:
hasNamebool

True if the name is not empty.

setDimension(dimension)

Accessor to the dimension.

Parameters:
dimensionint

Dimension of the standard space.

setName(name)

Accessor to the object’s name.

Parameters:
namestr

The name of the object.

Examples using the class

Use the Adaptive Directional Stratification Algorithm

Use the Adaptive Directional Stratification Algorithm