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35 namespace distributionModels
51 minValue_(distributionModelDict_.get<scalar>(
"minValue")),
52 maxValue_(distributionModelDict_.get<scalar>(
"maxValue")),
53 d_(distributionModelDict_.get<scalar>(
"d")),
54 n_(distributionModelDict_.get<scalar>(
"n"))
66 minValue_(
p.minValue_),
67 maxValue_(
p.maxValue_),
88 const scalar a = 3/n_ + 1;
89 const scalar P = rndGen_.sample01<scalar>();
92 }
while (d < minValue_ || d > maxValue_);
addToRunTimeSelectionTable(distributionModel, binned, dictionary)
virtual scalar meanValue() const
Return the mean value.
scalar invIncGamma(const scalar a, const scalar P)
Inverse normalized incomplete gamma function.
virtual ~massRosinRammler()
Destructor.
A library of runtime-selectable distribution models.
dimensionedScalar pow(const dimensionedScalar &ds, const dimensionedScalar &expt)
A list of keyword definitions, which are a keyword followed by a number of values (eg,...
Mass-based Rosin-Rammler distributionModel.
Macros for easy insertion into run-time selection tables.
virtual scalar sample() const
Sample the distributionModel.
virtual scalar maxValue() const
Return the maximum value.
massRosinRammler(const dictionary &dict, Random &rndGen)
Construct from components.
defineTypeNameAndDebug(binned, 0)
virtual scalar minValue() const
Return the minimum value.