Package | Description |
---|---|
polyrun | |
polyrun.thinning |
Modifier and Type | Method and Description |
---|---|
double[][] |
PolytopeRunner.chain(RandomWalk randomWalk,
ThinningFunction thinningFunction,
int numberOfSamples)
Generates a chain of samples starting from
PolytopeRunner.startPoint . |
void |
PolytopeRunner.chain(RandomWalk randomWalk,
ThinningFunction thinningFunction,
int numberOfSamples,
SampleConsumer consumer)
Generates a chain of samples starting from
PolytopeRunner.startPoint . |
Modifier and Type | Class and Description |
---|---|
class |
ConstantThinningFunction
Represents constant thinning function in form f(m, n) = c that does not depend on number of dimensions 'n'
or number of constraints 'm', and where 'c' is constant.
|
class |
LogNNCubedThinningFunction
Represents thinning function in form f(m, n) = ceil(a * log(n + 1) * n^3), where 'n' is the dimension of sampling space,
'm' is the number of constraints, and 'a' is a parameter (scaling factor).
|
class |
MNThinningFunction
Represents thinning function in form f(m, n) = ceil(c * m * n), where 'n' is the dimension of sampling space,
'm' is the number of constraints, and 'c' is a parameter (scaling factor).
|
class |
NCubedThinningFunction
Represents thinning function in form f(m, n) = ceil(a * n^3), where 'n' is the dimension of sampling space,
'm' is the number of constraints, and 'a' is a parameter (scaling factor).
|
class |
NoThinning
Represents thinning function in form f(n) = 1.
|
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