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) |