MixturePrior.h

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// -*- lsst-c++ -*-
/*
 * LSST Data Management System
 * Copyright 2008-2013 LSST Corporation.
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#ifndef LSST_MEAS_MODELFIT_MixturePrior_h_INCLUDED
#define LSST_MEAS_MODELFIT_MixturePrior_h_INCLUDED
 
#include "lsst/meas/modelfit/Prior.h"
#include "lsst/meas/modelfit/Mixture.h"
 
namespace lsst { namespace meas { namespace modelfit {

class MixturePrior : public Prior {
public:
 
    explicit MixturePrior(std::shared_ptr<Mixture const> mixture, std::string const & tag="");

    Scalar evaluate(
        ndarray::Array<Scalar const,1,1> const & nonlinear,
        ndarray::Array<Scalar const,1,1> const & amplitudes
    ) const override;

    void evaluateDerivatives(
        ndarray::Array<Scalar const,1,1> const & nonlinear,
        ndarray::Array<Scalar const,1,1> const & amplitudes,
        ndarray::Array<Scalar,1,1> const & nonlinearGradient,
        ndarray::Array<Scalar,1,1> const & amplitudeGradient,
        ndarray::Array<Scalar,2,1> const & nonlinearHessian,
        ndarray::Array<Scalar,2,1> const & amplitudeHessian,
        ndarray::Array<Scalar,2,1> const & crossHessian
    ) const override;

    Scalar marginalize(
        Vector const & gradient, Matrix const & hessian,
        ndarray::Array<Scalar const,1,1> const & nonlinear
    ) const override;

    Scalar maximize(
        Vector const & gradient, Matrix const & hessian,
        ndarray::Array<Scalar const,1,1> const & nonlinear,
        ndarray::Array<Scalar,1,1> const & amplitudes
    ) const override;

    void drawAmplitudes(
        Vector const & gradient, Matrix const & fisher,
        ndarray::Array<Scalar const,1,1> const & nonlinear,
        afw::math::Random & rng,
        ndarray::Array<Scalar,2,1> const & amplitudes,
        ndarray::Array<Scalar,1,1> const & weights,
        bool multiplyWeights=false
    ) const override;

    static MixtureUpdateRestriction const & getUpdateRestriction();
 
    std::shared_ptr<Mixture const> getMixture() const { return _mixture; }
 
private:
    std::shared_ptr<Mixture const> _mixture;
};
 
}}} // namespace lsst::meas::modelfit
 
#endif // !LSST_MEAS_MODELFIT_MixturePrior_h_INCLUDED