public abstract class UncList<T> : IUncList<T>
where T : new(), Object, IRealUncNumber<T>
Public MustInherit Class UncList(Of T As {New, Object, IRealUncNumber(Of T)})
Implements IUncList(Of T)generic<typename T>
where T : gcnew(), Object, IRealUncNumber<T>
public ref class UncList abstract : IUncList<T>[<AbstractClassAttribute>]
type UncList<'T when 'T : new() and Object and IRealUncNumber<'T>> =
class
interface IUncList<'T>
end| UncListT | Initializes a new instance of the UncListT class |
| data | Flat Uncertainty Array |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
| Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
| GetCovariance | Computes the Covariance Matrix of an Uncertainty Object. |
| GetHashCode | Serves as the default hash function. (Inherited from Object) |
| GetJacobi | Returns the Jacobi Matrix of an Uncertainty Object. |
| GetJacobi2 | Computes the Sensitivities to intermediate steps. |
| GetType | Gets the Type of the current instance. (Inherited from Object) |
| GetUncComponent | Computes the Uncertainty Components. |
| InitFromRandomChoices(Number) | Initializes an Uncertainty List from random choices |
| InitFromRandomChoices(Number, InputId, String) | Initializes an Uncertainty List from random choices |
| InitFromSamples(Number, Double) | Initializes an Uncertainty List from samples |
| InitFromSamples(Number, InputId, String, Double) | Initializes an Uncertainty List from samples |
| InitMultivariateNormal(Number, Number) | Initializes an Uncertainty List using a multivariate normal distribution |
| InitMultivariateNormal(Number, Number, InputId, String) | Initializes an Uncertainty List |
| InitMultivariateT(Number, Number, Double) | Initializes an Uncertainty List using a multivariate T distribution |
| InitMultivariateT(Number, Number, Double, InputId, String) | Initializes an Uncertainty List using a multivariate T distribution |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
| ToString | Returns a string that represents the current object. (Inherited from Object) |