inversecumulativerng.hpp

/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
 
/*
 Copyright (C) 2003, 2004 Ferdinando Ametrano
 Copyright (C) 2000, 2001, 2002, 2003 RiskMap srl
 
 This file is part of QuantLib, a free-software/open-source library
 for financial quantitative analysts and developers - http://quantlib.org/
 
 QuantLib is free software: you can redistribute it and/or modify it
 under the terms of the QuantLib license.  You should have received a
 copy of the license along with this program; if not, please email
 <quantlib-dev@lists.sf.net>. The license is also available online at
 <http://quantlib.org/license.shtml>.
 
 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 license for more details.
*/
 
#ifndef quantlib_inversecumulative_rng_h
#define quantlib_inversecumulative_rng_h
 
#include <ql/methods/montecarlo/sample.hpp>
 
namespace QuantLib {
 
 
    template <class RNG, class IC>
    class InverseCumulativeRng {
      public:
        typedef Sample<Real> sample_type;
        typedef RNG urng_type;
        explicit InverseCumulativeRng(const RNG& uniformGenerator);
        sample_type next() const;
      private:
        RNG uniformGenerator_;
        IC ICND_;
    };
 
    template <class RNG, class IC>
    InverseCumulativeRng<RNG, IC>::InverseCumulativeRng(const RNG& ug)
    : uniformGenerator_(ug) {}
 
    template <class RNG, class IC>
    inline typename InverseCumulativeRng<RNG, IC>::sample_type
    InverseCumulativeRng<RNG, IC>::next() const {
        typename RNG::sample_type sample = uniformGenerator_.next();
        return sample_type(ICND_(sample.value),sample.weight);
    }
 
}
 
 
#endif