mirror of
https://github.com/OPM/opm-simulators.git
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5977590e70
Missing chain-rule usage in Scalar/AD operator.
303 lines
7.1 KiB
C++
303 lines
7.1 KiB
C++
/*
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Copyright 2013 SINTEF ICT, Applied Mathematics.
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Copyright 2013 Statoil ASA.
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This file is part of the Open Porous Media Project (OPM).
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OPM is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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OPM is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with OPM. If not, see <http://www.gnu.org/licenses/>.
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*/
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#ifndef OPM_AUTODIFF_HPP_HEADER
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#define OPM_AUTODIFF_HPP_HEADER
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#include <cmath>
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namespace Opm
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{
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/// A simple class for forward-mode automatic differentiation.
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///
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/// The class represents a single value and a single derivative.
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/// Only basic arithmetic operators and a few functions are
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/// implemented for it, it is mostly intended for simple
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/// experimentation.
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template <typename Scalar>
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class AutoDiff
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{
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public:
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/// Create an AutoDiff object representing a constant, that
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/// is, its derivative is zero.
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static AutoDiff
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constant(const Scalar x)
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{
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return function(x, Scalar(0));
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}
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/// Create an AutoDiff object representing a primary variable,
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/// that is, its derivative is one.
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static AutoDiff
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variable(const Scalar x)
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{
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return function(x, Scalar(1));
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}
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/// Create an AutoDiff object representing a function value
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/// and its derivative.
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static AutoDiff
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function(const Scalar x, const Scalar dx)
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{
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return AutoDiff(x, dx);
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}
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void
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operator +=(const Scalar& rhs)
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{
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val_ += rhs;
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}
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void
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operator +=(const AutoDiff& rhs)
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{
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val_ += rhs.val_;
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der_ += rhs.der_;
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}
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void
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operator -=(const Scalar& rhs)
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{
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val_ -= rhs;
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}
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void
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operator -=(const AutoDiff& rhs)
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{
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val_ -= rhs.val_;
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der_ -= rhs.der_;
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}
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void
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operator *=(const Scalar& rhs)
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{
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val_ *= rhs;
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der_ *= rhs;
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}
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void
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operator *=(const AutoDiff& rhs)
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{
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der_ = der_*rhs.val_ + val_*rhs.der_;
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val_ *= rhs.val_;
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}
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void
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operator /=(const Scalar& rhs)
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{
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val_ /= rhs;
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der_ /= rhs;
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}
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void
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operator /=(const AutoDiff& rhs)
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{
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der_ = (der_*rhs.val_ - val_*rhs.der_) / (rhs.val_ * rhs.val_);
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val_ /= rhs.val_;
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}
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template <class Ostream>
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Ostream&
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print(Ostream& os) const
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{
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os << "(x,dx) = (" << val_ << ',' << der_ << ")";
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return os;
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}
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const Scalar val() const { return val_; }
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const Scalar der() const { return der_; }
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private:
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AutoDiff(const Scalar x, const Scalar dx)
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: val_(x), der_(dx)
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{}
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Scalar val_;
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Scalar der_;
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};
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template <class Ostream, typename Scalar>
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Ostream&
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operator<<(Ostream& os, const AutoDiff<Scalar>& fw)
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{
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return fw.print(os);
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}
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template <typename Scalar>
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AutoDiff<Scalar>
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operator +(const AutoDiff<Scalar>& lhs,
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const AutoDiff<Scalar>& rhs)
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{
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AutoDiff<Scalar> ret = lhs;
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ret += rhs;
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return ret;
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}
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template <typename Scalar, typename T>
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AutoDiff<Scalar>
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operator +(const T lhs,
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const AutoDiff<Scalar>& rhs)
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{
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AutoDiff<Scalar> ret = rhs;
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ret += Scalar(lhs);
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return ret;
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}
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template <typename Scalar, typename T>
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AutoDiff<Scalar>
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operator +(const AutoDiff<Scalar>& lhs,
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const T rhs)
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{
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AutoDiff<Scalar> ret = lhs;
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ret += Scalar(rhs);
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return ret;
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}
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template <typename Scalar>
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AutoDiff<Scalar>
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operator -(const AutoDiff<Scalar>& lhs,
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const AutoDiff<Scalar>& rhs)
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{
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AutoDiff<Scalar> ret = lhs;
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ret -= rhs;
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return ret;
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}
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template <typename Scalar, typename T>
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AutoDiff<Scalar>
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operator -(const T lhs,
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const AutoDiff<Scalar>& rhs)
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{
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return AutoDiff<Scalar>::function(Scalar(lhs) - rhs.val(), -rhs.der());
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}
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template <typename Scalar, typename T>
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AutoDiff<Scalar>
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operator -(const AutoDiff<Scalar>& lhs,
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const T rhs)
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{
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AutoDiff<Scalar> ret = lhs;
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ret -= Scalar(rhs);
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return ret;
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}
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template <typename Scalar>
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AutoDiff<Scalar>
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operator *(const AutoDiff<Scalar>& lhs,
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const AutoDiff<Scalar>& rhs)
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{
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AutoDiff<Scalar> ret = lhs;
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ret *= rhs;
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return ret;
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}
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template <typename Scalar, typename T>
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AutoDiff<Scalar>
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operator *(const T lhs,
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const AutoDiff<Scalar>& rhs)
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{
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AutoDiff<Scalar> ret = rhs;
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ret *= Scalar(lhs);
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return ret;
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}
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template <typename Scalar, typename T>
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AutoDiff<Scalar>
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operator *(const AutoDiff<Scalar>& lhs,
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const T rhs)
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{
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AutoDiff<Scalar> ret = lhs;
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ret *= Scalar(rhs);
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return ret;
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}
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template <typename Scalar>
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AutoDiff<Scalar>
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operator /(const AutoDiff<Scalar>& lhs,
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const AutoDiff<Scalar>& rhs)
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{
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AutoDiff<Scalar> ret = lhs;
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ret /= rhs;
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return ret;
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}
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template <typename Scalar, typename T>
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AutoDiff<Scalar>
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operator /(const T lhs,
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const AutoDiff<Scalar>& rhs)
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{
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Scalar a = Scalar(lhs) / rhs.val();
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Scalar b = (-Scalar(lhs) / (rhs.val() * rhs.val())) * rhs.der();
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return AutoDiff<Scalar>::function(a, b);
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}
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template <typename Scalar, typename T>
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AutoDiff<Scalar>
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operator /(const AutoDiff<Scalar>& lhs,
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const T rhs)
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{
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Scalar a = lhs.val() / Scalar(rhs);
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Scalar b = lhs.der() / Scalar(rhs);
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return AutoDiff<Scalar>::function(a, b);
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}
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template <typename Scalar>
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AutoDiff<Scalar>
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cos(const AutoDiff<Scalar>& x)
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{
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Scalar a = std::cos(x.val());
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Scalar b = -std::sin(x.val()) * x.der();
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return AutoDiff<Scalar>::function(a, b);
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}
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template <typename Scalar>
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AutoDiff<Scalar>
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sqrt(const AutoDiff<Scalar>& x)
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{
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Scalar a = std::sqrt(x.val());
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Scalar b = (Scalar(1.0) / (Scalar(2.0) * a)) * x.der();
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return AutoDiff<Scalar>::function(a, b);
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}
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} // namespace Opm
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namespace std {
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using Opm::cos;
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using Opm::sqrt;
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}
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#endif /* OPM_AUTODIFF_HPP_HEADER */
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