Math.NET Numerics
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// <copyright file="IContinuousDistribution.cs" company="Math.NET">
// Math.NET Numerics, part of the Math.NET Project
// http://mathnet.opensourcedotnet.info
//
// Copyright (c) 2009 Math.NET
//
// Permission is hereby granted, free of charge, to any person
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// copies of the Software, and to permit persons to whom the
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//
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
// OTHER DEALINGS IN THE SOFTWARE.
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namespace MathNet.Numerics.Distributions
{
using System.Collections.Generic;
/// <summary>
/// The interface for continuous univariate distributions.
/// </summary>
public interface IContinuousDistribution : IDistribution
{
/// <summary>
/// Gets the mode of the distribution.
/// </summary>
double Mode { get; }
/// <summary>
/// Gets the median of the distribution.
/// </summary>
double Median { get; }
/// <summary>
/// Gets the smallest element in the domain of the distributions which can be represented by a double.
/// </summary>
double Minimum { get; }
/// <summary>
/// Gets the largest element in the domain of the distributions which can be represented by a double.
/// </summary>
double Maximum { get; }
/// <summary>
/// The probability density of the distribution.
/// </summary>
/// <param name="x">The location at which to compute the density.</param>
/// <returns>the density at <paramref name="x"/>.</returns>
double Density(double x);
/// <summary>
/// The log probability density of the distribution.
/// </summary>
/// <param name="x">The location at which to compute the log density.</param>
/// <returns>the log density at <paramref name="x"/>.</returns>
double DensityLn(double x);
/// <summary>
/// Draws a random sample from the distribution.
/// </summary>
/// <returns>a sample from the distribution.</returns>
double Sample();
/// <summary>
/// Draws a sequence of random samples from the distribution.
/// </summary>
/// <returns>a sequence of samples from the distribution.</returns>
IEnumerable<double> Samples();
}
}