// Copyright (C) Stichting Deltares 2016. All rights reserved.
//
// This file is part of Ringtoets.
//
// Ringtoets is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program. If not, see .
//
// All names, logos, and references to "Deltares" are registered trademarks of
// Stichting Deltares and remain full property of Stichting Deltares at all times.
// All rights reserved.
using System;
using Core.Common.Base.Data;
namespace Ringtoets.Common.Data.Probabilistics
{
///
/// This class defines a design variable for a log-normal distribution.
///
public class LogNormalDistributionDesignVariable : DesignVariable
{
///
/// Initializes a new instance of the class.
///
/// A log-normal distribution.
public LogNormalDistributionDesignVariable(LogNormalDistribution distribution) : base(distribution) {}
public override RoundedDouble GetDesignValue()
{
double normalSpaceDesignValue = DetermineDesignValueInNormalDistributionSpace();
return ProjectFromNormalToLogNormalSpace(normalSpaceDesignValue);
}
///
/// Projects into 'normal
/// distribution' space and calculates the design value for that value space.
///
/// The design value in 'normal distribution' space.
private double DetermineDesignValueInNormalDistributionSpace()
{
// Determine normal distribution parameters from log-normal parameters, as
// design value can only be determined in 'normal distribution' space.
// Below formula's come from Tu-Delft College dictaat "b3 Probabilistisch Ontwerpen"
// by ir. A.C.W.M. Vrouwenvelder and ir.J.K. Vrijling 5th reprint 1987.
double sigmaLogOverMuLog = Distribution.StandardDeviation/Distribution.Mean;
double sigmaNormal = Math.Sqrt(Math.Log(sigmaLogOverMuLog*sigmaLogOverMuLog + 1.0));
double muNormal = Math.Log(Distribution.Mean) - 0.5*sigmaNormal*sigmaNormal;
return DetermineDesignValue(muNormal, sigmaNormal);
}
private RoundedDouble ProjectFromNormalToLogNormalSpace(double normalSpaceDesignValue)
{
return new RoundedDouble(Distribution.Mean.NumberOfDecimalPlaces, Math.Exp(normalSpaceDesignValue));
}
}
}