Truncated Distribution.Sample Method
Definition
Namespace: Numerics.NET.Statistics.Distributions
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 10.3.0
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 10.3.0
Overload List
| Sample() | Returns a single random sample drawn from this distribution. |
| Sample( | Returns a vector containing the specified number of independent random samples drawn from this distribution. |
| Sample( | Returns a random sample from the distribution using a Random instance. |
| Sample( | Returns a random sample from the distribution using a Random instance. |
| Sample( | Returns a vector containing the specified number of independent random samples drawn from this distribution using the provided IRandomSource. |
| Sample( | Returns a vector of random samples from the distribution. |
| Sample<TGenerator>(IRandomSource<TGenerator>) | Returns a random sample from the distribution using the supplied IRandomSource<TGenerator>. |
| Sample<TGenerator>(TGenerator) | Returns a random sample from the distribution using the provided generator. |
| Sample<TGenerator>(TGenerator) | Returns a random sample from the distribution using the provided generator. |
| Sample<TGenerator>(Int32, IRandomSource<TGenerator>) | Returns a vector containing the specified number of independent random samples drawn from this distribution using the supplied IRandomSource<TGenerator>. |
Sample<TGenerator>(TGenerator)
Returns a random sample from the distribution using the provided
generator.
protected override double Sample<TGenerator>(
ref TGenerator generator
)
where TGenerator : struct, new(), IRandomGenerator
Parameters
- generator TGenerator
- A reference to a struct implementing IRandomGenerator used to produce uniform variates.
Type Parameters
- TGenerator
- The underlying generator type of the random source, used to enable optimizations like inlining.
Return Value
DoubleA double-precision random variate.
Remarks
Implementations may override this method to provide a more efficient or specialized sampling algorithm that consumes raw uniform variates from generator.