Coverage Report

Created: 2026-03-31 07:01

next uncovered line (L), next uncovered region (R), next uncovered branch (B)
/src/quantlib/ql/methods/finitedifferences/schemes/methodoflinesscheme.cpp
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/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- */
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/*
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 Copyright (C) 2018 Klaus Spanderen
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 This file is part of QuantLib, a free-software/open-source library
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 for financial quantitative analysts and developers - http://quantlib.org/
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 QuantLib is free software: you can redistribute it and/or modify it
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 under the terms of the QuantLib license.  You should have received a
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 copy of the license along with this program; if not, please email
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 <quantlib-dev@lists.sf.net>. The license is also available online at
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 <https://www.quantlib.org/license.shtml>.
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 This program is distributed in the hope that it will be useful, but WITHOUT
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 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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 FOR A PARTICULAR PURPOSE.  See the license for more details.
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 */
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#include <ql/math/ode/adaptiverungekutta.hpp>
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#include <ql/methods/finitedifferences/schemes/methodoflinesscheme.hpp>
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#include <utility>
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namespace QuantLib {
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    MethodOfLinesScheme::MethodOfLinesScheme(const Real eps,
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                                             const Real relInitStepSize,
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                                             ext::shared_ptr<FdmLinearOpComposite> map,
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                                             const bc_set& bcSet)
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    : dt_(Null<Real>()), eps_(eps), relInitStepSize_(relInitStepSize), map_(std::move(map)),
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      bcSet_(bcSet) {}
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    std::vector<Real> MethodOfLinesScheme::apply(Time t, const std::vector<Real>& u) const {
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        map_->setTime(t, t + 0.0001);
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        bcSet_.applyBeforeApplying(*map_);
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        const Array dxdt = -map_->apply(Array(u.begin(), u.end()));
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        return std::vector<Real>(dxdt.begin(), dxdt.end());
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    }
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    void MethodOfLinesScheme::step(array_type& a, Time t) {
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        QL_REQUIRE(t-dt_ > -1e-8, "a step towards negative time given");
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        const std::vector<Real> v =
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           AdaptiveRungeKutta<Real>(eps_, relInitStepSize_*dt_)(
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               [&](Time _t, const std::vector<Real>& _u){ return apply(_t, _u); },
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               std::vector<Real>(a.begin(), a.end()),
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               t, std::max(0.0, t-dt_));
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        Array y(v.begin(), v.end());
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        bcSet_.applyAfterSolving(y);
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        a = y;
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    }
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    void MethodOfLinesScheme::setStep(Time dt) {
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        dt_ = dt;
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    }
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}