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Class Foam::distributions::unintegrable Description Base class for distributions that do not have a closed integral form for the cumulative density function (CDF) for some or all effective size exponents. SourceFiles unintegrable.C See also Foam::distribution \*---------------------------------------------------------------------------*/ #ifndef unintegrable_H #define unintegrable_H #include "distribution.H" // * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * // namespace Foam { namespace distributions { /*---------------------------------------------------------------------------*\ Class unintegrable Declaration \*---------------------------------------------------------------------------*/ class unintegrable : public distribution { private: // Private Data //- Number of intervals to use over the range of the distribution const label n_; //- X-coordinates. These are spaced to contain equal increments of the // CDF. Sampling is a inversion of the CDF; i.e., solve CDF(x) = s for // x, where s is a random sample between 0 and 1. Uniform increments // of CDF make this inversion trivial. mutable autoPtr xPtr_; //- Values of Phi (i.e., the un-normalised CDF) at the minimum and // maximum x-coordinates mutable autoPtr> Phi01Ptr_; //- Values of the PDF at the X-coordinates mutable autoPtr PDFPtr_; // Private Member Functions //- X-coordinates const scalarField& x() const; //- Values of the PDF at the X-coordinates const scalarField& PDF() const; protected: // Protected Member Functions //- Return values of the un-normalised PDF for the given size exponent // and x-coordinates. Must be provided by derivations. virtual tmp phi ( const label q, const scalarField& x ) const = 0; //- Return values of the un-normalised CDF for the given size exponent // and x-coordinates. Can be overloaded by derivations, for example, if // there is a simpler analytic solution for certain effective size // exponents (probably zero). virtual tmp Phi ( const label q, const scalarField& x ) const; //- Return values of the un-normalised CDF at the minimum and maximum // x-coordinates for the given size exponent. Can be overloaded by // derivations, for example, if there is a simpler analytic solution // for certain effective size exponents (probably zero). virtual Pair Phi01(const label q) const; //- Access cached values of the un-normalised CDF at the minimum and // maximum x-coordinates. const Pair& Phi01() const; public: // Static Member Functions //- Integrate the values y with respect to the coordinates x static tmp integrate ( const scalarField& x, const scalarField& y ); //- Integrate the values x*y with respect to the coordinates x static tmp integrateX ( const scalarField& x, const scalarField& y ); //- Integrate the values x^e*y with respect to the coordinates x, // and interpolating onto a separate set of x coordinates static tmp interpolateIntegrateXPow ( const scalarField& xStar, const label e, const scalarField& yStar, const scalarField& x ); //- Sample an interval, given the interval's bounding x-coordinates, // values Phi (the un-normalised CDF), and a random sample. First // order interpolation. static scalar sampleInterval ( const Pair& x, const Pair& Phi, const scalar s ); //- Sample an interval, given the interval's bounding x-coordinates, // values phi and Phi (the un-normalised PDF and CDF), and a random // sample. Second order interpolation. static scalar sampleInterval ( const Pair& x, const Pair& phi, const Pair& Phi, const scalar s ); //- Sample a discretised distribution, given the x-coordinates, // values Phi (the un-normalised CDF), and a random sample. First // order interpolation. static scalar sample ( const scalarField& x, const scalarField& Phi, const scalar s ); //- Sample a discretised distribution, given the x-coordinates, values // phi and Phi (the un-normalised PDF and CDF), and a random sample. // Second order interpolation. static scalar sample ( const scalarField& x, const scalarField& phi, const scalarField& Phi, const scalar s ); // Constructors //- Construct from a dictionary unintegrable ( const word& name, const unitSet& units, const dictionary& dict, const label sampleQ, randomGenerator&& rndGen ); //- Construct from components unintegrable ( const label Q, const label sampleQ, randomGenerator&& rndGen, const label n ); //- Construct copy unintegrable(const unintegrable& d, const label sampleQ); //- Destructor virtual ~unintegrable(); // Member Functions //- Sample the distribution virtual scalar sample() const; //- Sample the distribution using distribution::sample; //- Return the mean value virtual scalar mean() const; //- Return the integral of the PDF multiplied by an integer power of x virtual tmp integralPDFxPow ( const scalarField& x, const label e, const bool consistent = false ) const; //- Write to a stream virtual void write(Ostream& os, const unitSet& units) const; //- Return coordinates to plot across the range of the distribution using distribution::plotX; //- Return values to plot the probability density function virtual tmp plotPDF(const scalarField& x) const; }; // * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * // } // End namespace distributions } // End namespace Foam // * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * // #endif // ************************************************************************* //