Matrix |
public class MatrixNormal : IDistribution
The MatrixNormal type exposes the following members.
Name | Description | |
---|---|---|
![]() | MatrixNormal(MatrixDouble, MatrixDouble, MatrixDouble) | Initializes a new instance of the MatrixNormal class. |
![]() | MatrixNormal(MatrixDouble, MatrixDouble, MatrixDouble, Random) | Initializes a new instance of the MatrixNormal class. |
Name | Description | |
---|---|---|
![]() | ColumnCovariance | Gets the column covariance. (K) |
![]() | Mean | Gets the mean. (M) |
![]() | RandomSource | Gets or sets the random number generator which is used to draw random samples. |
![]() | RowCovariance | Gets the row covariance. (V) |
Name | Description | |
---|---|---|
![]() | Density | Evaluates the probability density function for the matrix normal distribution. |
![]() | 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) |
![]() | GetHashCode | Serves as the default hash function. (Inherited from Object) |
![]() | GetType | Gets the Type of the current instance. (Inherited from Object) |
![]() ![]() | IsValidParameterSet | Tests whether the provided values are valid parameters for this distribution. |
![]() | MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object) |
![]() | Sample | Samples a matrix normal distributed random variable. |
![]() ![]() | Sample(Random, MatrixDouble, MatrixDouble, MatrixDouble) | Samples a matrix normal distributed random variable. |
![]() | ToString |
Returns a String that represents this instance.
(Overrides ObjectToString) |