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/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */

 Copyright (C) 2003 Ferdinando Ametrano
 Copyright (C) 2000-2005 StatPro Italia srl
 Copyright (C) 2005 Klaus Spanderen

 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

 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.

/*! \file multipathgenerator.hpp
    \brief Generates a multi path from a random-array generator

#ifndef quantlib_multi_path_generator_hpp
#define quantlib_multi_path_generator_hpp

#include <ql/stochasticprocess.hpp>
#include <ql/Processes/stochasticprocessarray.hpp>
#include <ql/MonteCarlo/multipath.hpp>
#include <ql/MonteCarlo/sample.hpp>
#include <ql/Math/pseudosqrt.hpp>

namespace QuantLib {

    //! Generates a multipath from a random number generator.
    /*! RSG is a sample generator which returns a random sequence.
        It must have the minimal interface:
        RSG {
            Sample<Array> next();

        \ingroup mcarlo

        \test the generated paths are checked against cached results
    template <class GSG>
00051     class MultiPathGenerator {
        typedef Sample<MultiPath> sample_type;
        MultiPathGenerator(const boost::shared_ptr<StochasticProcess>&,
                           const TimeGrid&,
                           GSG generator,
                           bool brownianBridge = false);
        const sample_type& next() const;
        const sample_type& antithetic() const;
        const sample_type& next(bool antithetic) const;
        bool brownianBridge_;
        boost::shared_ptr<StochasticProcess> process_;
        GSG generator_;
        mutable sample_type next_;

    // template definitions

    template <class GSG>
                   const boost::shared_ptr<StochasticProcess>& process,
                   const TimeGrid& times,
                   GSG generator,
                   bool brownianBridge)
    : brownianBridge_(brownianBridge), process_(process),
      generator_(generator), next_(MultiPath(process->size(), times), 1.0) {

        QL_REQUIRE(generator_.dimension() ==
                   "dimension (" << generator_.dimension()
                   << ") is not equal to ("
                   << process->factors() << " * " << times.size()-1
                   << ") the number of factors "
                   << "times the number of time steps");
        QL_REQUIRE(times.size() > 1,
                   "no times given");

    template <class GSG>
    inline const typename MultiPathGenerator<GSG>::sample_type&
    MultiPathGenerator<GSG>::next() const {
        return next(false);

    template <class GSG>
    inline const typename MultiPathGenerator<GSG>::sample_type&
    MultiPathGenerator<GSG>::antithetic() const {
        return next(true);

    template <class GSG>
    const typename MultiPathGenerator<GSG>::sample_type&
    MultiPathGenerator<GSG>::next(bool antithetic) const {

        if (brownianBridge_) {

            QL_FAIL("Brownian bridge not supported");

        } else {

            typedef typename GSG::sample_type sequence_type;
            const sequence_type& sequence_ =
                antithetic ? generator_.lastSequence()
                           : generator_.nextSequence();

            Size m = process_->size();
            Size n = process_->factors();

            MultiPath& path = next_.value;

            Array asset = process_->initialValues();
            for (Size j=0; j<m; j++)
                path[j].front() = asset[j];

            Array temp(n);
            next_.weight = sequence_.weight;

            TimeGrid timeGrid = path[0].timeGrid();
            Time t, dt;
            for (Size i = 1; i < path.pathSize(); i++) {
                Size offset = (i-1)*n;
                t = timeGrid[i-1];
                dt = timeGrid.dt(i-1);
                if (antithetic)

                asset = process_->evolve(t, asset, dt, temp);
                for (Size j=0; j<m; j++)
                    path[j][i] = asset[j];
            return next_;



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