| Interface | Description |
|---|---|
| SeparableMultivariateRandom |
SeparableMultivariateRandom exposes the Variance of the Objective Function dependent on Multivariate
Random Variables where the Multivariate Function is a Linear Combination of Bounded Univariate Functions
acting on each Random Variate.
|
| Class | Description |
|---|---|
| BinaryIdempotentUnivariateRandom |
BinaryIdempotentUnivariateRandom contains the Implementation of the Objective Function dependent on
Binary Idempotent Univariate Random Variable.
|
| BoundedIdempotentUnivariateRandom |
BoundedIdempotentUnivariateRandom contains the Implementation of the Objective Function dependent on
Bounded Idempotent Univariate Random Variable.
|
| BoundedMultivariateRandom |
BoundedMultivariateRandom contains the Implementation of the Bounded Objective Function dependent on
Multivariate Random Variables.
|
| EfronSteinMetrics |
EfronSteinMetrics contains the Variance-based non-exponential Sample Distribution/Bounding Metrics and
Agnostic Bounds related to the Functional Transformation of the specified Sequence.
|
| FlatMultivariateRandom |
FlatMultivariateRandom contains the Implementation of the Flat Objective Function dependent on
Multivariate Random Variables.
|
| FunctionSupremumUnivariateRandom |
FunctionSupremumUnivariateRandom contains the Implementation of the FunctionClassSupremum Objective
Function dependent on Univariate Random Variable.
|
| IdempotentUnivariateRandom |
IdempotentUnivariateRandom contains the Implementation of the OffsetIdempotent Objective Function
dependent on Univariate Random Variable.
|
| MultivariateRandom |
MultivariateRandom contains the implementation of the objective Function dependent on Multivariate Random
Variables.
|