Loading...
Searching...
No Matches
Math.hpp
Go to the documentation of this file.
// -*- mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
// vi: set et ts=4 sw=4 sts=4:
/*
This file is part of the Open Porous Media project (OPM).
OPM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 2 of the License, or
(at your option) any later version.
OPM 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
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with OPM. If not, see <http://www.gnu.org/licenses/>.
Consult the COPYING file in the top-level source directory of this
module for the precise wording of the license and the list of
copyright holders.
*/
#ifndef OPM_LOCAL_AD_MATH_HPP
#define OPM_LOCAL_AD_MATH_HPP
#include "Evaluation.hpp"
#include <opm/material/common/MathToolbox.hpp>
#include <opm/common/utility/gpuDecorators.hpp>
namespace Opm {
namespace DenseAd {
// forward declaration of the Evaluation template class
template <class ValueT, int numVars, unsigned staticSize>
class Evaluation;
// provide some algebraic functions
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> abs(const Evaluation<ValueType, numVars, staticSize>& x)
{ return (x > 0.0)?x:-x; }
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> min(const Evaluation<ValueType, numVars, staticSize>& x1,
const Evaluation<ValueType, numVars, staticSize>& x2)
{ return (x1 < x2)?x1:x2; }
template <class Arg1ValueType, class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> min(const Arg1ValueType& x1,
const Evaluation<ValueType, numVars, staticSize>& x2)
{
if (x1 < x2) {
Evaluation<ValueType, numVars, staticSize> ret(x2);
ret = x1;
return ret;
}
else
return x2;
}
template <class ValueType, int numVars, unsigned staticSize, class Arg2ValueType>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> min(const Evaluation<ValueType, numVars, staticSize>& x1,
const Arg2ValueType& x2)
{ return min(x2, x1); }
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> max(const Evaluation<ValueType, numVars, staticSize>& x1,
const Evaluation<ValueType, numVars, staticSize>& x2)
{ return (x1 > x2)?x1:x2; }
template <class Arg1ValueType, class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> max(const Arg1ValueType& x1,
const Evaluation<ValueType, numVars, staticSize>& x2)
{
if (x1 > x2) {
Evaluation<ValueType, numVars, staticSize> ret(x2);
ret = x1;
return ret;
}
else
return x2;
}
template <class ValueType, int numVars, unsigned staticSize, class Arg2ValueType>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> max(const Evaluation<ValueType, numVars, staticSize>& x1,
const Arg2ValueType& x2)
{ return max(x2, x1); }
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> tan(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
const ValueType& tmp = ValueTypeToolbox::tan(x.value());
result.setValue(tmp);
// derivatives use the chain rule
const ValueType& df_dx = 1 + tmp*tmp;
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> atan(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::atan(x.value()));
// derivatives use the chain rule
const ValueType& df_dx = 1/(1 + x.value()*x.value());
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> atan2(const Evaluation<ValueType, numVars, staticSize>& x,
const Evaluation<ValueType, numVars, staticSize>& y)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::atan2(x.value(), y.value()));
// derivatives use the chain rule
const ValueType& alpha = 1/(1 + (x.value()*x.value())/(y.value()*y.value()));
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx) {
result.setDerivative(curVarIdx,
alpha/(y.value()*y.value())
*(x.derivative(curVarIdx)*y.value() - x.value()*y.derivative(curVarIdx)));
}
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> atan2(const Evaluation<ValueType, numVars, staticSize>& x,
const ValueType& y)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::atan2(x.value(), y));
// derivatives use the chain rule
const ValueType& alpha = 1/(1 + (x.value()*x.value())/(y*y));
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx) {
result.setDerivative(curVarIdx,
alpha/(y*y)
*(x.derivative(curVarIdx)*y));
}
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> atan2(const ValueType& x,
const Evaluation<ValueType, numVars, staticSize>& y)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(y);
result.setValue(ValueTypeToolbox::atan2(x, y.value()));
// derivatives use the chain rule
const ValueType& alpha = 1/(1 + (x.value()*x.value())/(y.value()*y.value()));
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx) {
result.setDerivative(curVarIdx,
alpha/(y.value()*y.value())
*x*y.derivative(curVarIdx));
}
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> sin(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::sin(x.value()));
// derivatives use the chain rule
const ValueType& df_dx = ValueTypeToolbox::cos(x.value());
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> asin(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::asin(x.value()));
// derivatives use the chain rule
const ValueType& df_dx = 1.0/ValueTypeToolbox::sqrt(1 - x.value()*x.value());
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> sinh(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::sinh(x.value()));
// derivatives use the chain rule
const ValueType& df_dx = ValueTypeToolbox::cosh(x.value());
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> asinh(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::asinh(x.value()));
// derivatives use the chain rule
const ValueType& df_dx = 1.0/ValueTypeToolbox::sqrt(x.value()*x.value() + 1);
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> cos(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::cos(x.value()));
// derivatives use the chain rule
const ValueType& df_dx = -ValueTypeToolbox::sin(x.value());
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> acos(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::acos(x.value()));
// derivatives use the chain rule
const ValueType& df_dx = - 1.0/ValueTypeToolbox::sqrt(1 - x.value()*x.value());
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> cosh(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::cosh(x.value()));
// derivatives use the chain rule
const ValueType& df_dx = ValueTypeToolbox::sinh(x.value());
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> acosh(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::acosh(x.value()));
// derivatives use the chain rule
const ValueType& df_dx = 1.0/ValueTypeToolbox::sqrt(x.value()*x.value() - 1);
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> sqrt(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
const ValueType& sqrt_x = ValueTypeToolbox::sqrt(x.value());
result.setValue(sqrt_x);
// derivatives use the chain rule
ValueType df_dx = 0.5/sqrt_x;
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx) {
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
}
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> exp(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
const ValueType& exp_x = ValueTypeToolbox::exp(x.value());
result.setValue(exp_x);
// derivatives use the chain rule
const ValueType& df_dx = exp_x;
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
// exponentiation of arbitrary base with a fixed constant
template <class ValueType, int numVars, unsigned staticSize, class ExpType>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> pow(const Evaluation<ValueType, numVars, staticSize>& base,
const ExpType& exp)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(base);
const ValueType& pow_x = ValueTypeToolbox::pow(base.value(), exp);
result.setValue(pow_x);
if (base == 0.0) {
// we special case the base 0 case because 0.0 is in the valid range of the
// base but the generic code leads to NaNs.
result = 0.0;
}
else {
// derivatives use the chain rule
const ValueType& df_dx = pow_x/base.value()*exp;
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*base.derivative(curVarIdx));
}
return result;
}
// exponentiation of constant base with an arbitrary exponent
template <class BaseType, class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> pow(const BaseType& base,
const Evaluation<ValueType, numVars, staticSize>& exp)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(exp);
if (base == 0.0) {
// we special case the base 0 case because 0.0 is in the valid range of the
// base but the generic code leads to NaNs.
result = 0.0;
}
else {
const ValueType& lnBase = ValueTypeToolbox::log(base);
result.setValue(ValueTypeToolbox::exp(lnBase*exp.value()));
// derivatives use the chain rule
const ValueType& df_dx = lnBase*result.value();
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*exp.derivative(curVarIdx));
}
return result;
}
// this is the most expensive power function. Computationally it is pretty expensive, so
// one of the above two variants above should be preferred if possible.
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> pow(const Evaluation<ValueType, numVars, staticSize>& base,
const Evaluation<ValueType, numVars, staticSize>& exp)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(base);
if (base == 0.0) {
// we special case the base 0 case because 0.0 is in the valid range of the
// base but the generic code leads to NaNs.
result = 0.0;
}
else {
ValueType valuePow = ValueTypeToolbox::pow(base.value(), exp.value());
result.setValue(valuePow);
// use the chain rule for the derivatives. since both, the base and the exponent can
// potentially depend on the variable set, calculating these is quite elaborate...
const ValueType& f = base.value();
const ValueType& g = exp.value();
const ValueType& logF = ValueTypeToolbox::log(f);
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx) {
const ValueType& fPrime = base.derivative(curVarIdx);
const ValueType& gPrime = exp.derivative(curVarIdx);
result.setDerivative(curVarIdx, (g*fPrime/f + logF*gPrime) * valuePow);
}
}
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> log(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::log(x.value()));
// derivatives use the chain rule
const ValueType& df_dx = 1/x.value();
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
template <class ValueType, int numVars, unsigned staticSize>
OPM_HOST_DEVICE Evaluation<ValueType, numVars, staticSize> log10(const Evaluation<ValueType, numVars, staticSize>& x)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
Evaluation<ValueType, numVars, staticSize> result(x);
result.setValue(ValueTypeToolbox::log10(x.value()));
// derivatives use the chain rule
const ValueType& df_dx = 1/x.value() * ValueTypeToolbox::log10(ValueTypeToolbox::exp(1.0));
for (int curVarIdx = 0; curVarIdx < result.size(); ++curVarIdx)
result.setDerivative(curVarIdx, df_dx*x.derivative(curVarIdx));
return result;
}
} // namespace DenseAd
// a kind of traits class for the automatic differentiation case. (The toolbox for the
// scalar case is provided by the MathToolbox.hpp header file.)
template <class ValueT, int numVars, unsigned staticSize>
struct MathToolbox<DenseAd::Evaluation<ValueT, numVars, staticSize> >
{
private:
public:
typedef ValueT ValueType;
typedef MathToolbox<ValueType> InnerToolbox;
typedef typename InnerToolbox::Scalar Scalar;
typedef DenseAd::Evaluation<ValueType, numVars, staticSize> Evaluation;
OPM_HOST_DEVICE static ValueType value(const Evaluation& eval)
{ return eval.value(); }
OPM_HOST_DEVICE static decltype(InnerToolbox::scalarValue(0.0)) scalarValue(const Evaluation& eval)
{ return InnerToolbox::scalarValue(eval.value()); }
OPM_HOST_DEVICE static Evaluation createBlank(const Evaluation& x)
{ return Evaluation::createBlank(x); }
OPM_HOST_DEVICE static Evaluation createConstantZero(const Evaluation& x)
{ return Evaluation::createConstantZero(x); }
OPM_HOST_DEVICE static Evaluation createConstantOne(const Evaluation& x)
{ return Evaluation::createConstantOne(x); }
OPM_HOST_DEVICE static Evaluation createConstant(ValueType value)
{ return Evaluation::createConstant(value); }
OPM_HOST_DEVICE static Evaluation createConstant(unsigned numDeriv, const ValueType value)
{ return Evaluation::createConstant(numDeriv, value); }
OPM_HOST_DEVICE static Evaluation createConstant(const Evaluation& x, const ValueType value)
{ return Evaluation::createConstant(x, value); }
OPM_HOST_DEVICE static Evaluation createVariable(ValueType value, int varIdx)
{ return Evaluation::createVariable(value, varIdx); }
template <class LhsEval>
OPM_HOST_DEVICE static typename std::enable_if<std::is_same<Evaluation, LhsEval>::value,
LhsEval>::type
decay(const Evaluation& eval)
{ return eval; }
template <class LhsEval>
OPM_HOST_DEVICE static typename std::enable_if<std::is_same<Evaluation, LhsEval>::value,
LhsEval>::type
decay(const Evaluation&& eval)
{ return eval; }
template <class LhsEval>
OPM_HOST_DEVICE static typename std::enable_if<std::is_floating_point<LhsEval>::value,
LhsEval>::type
decay(const Evaluation& eval)
{ return eval.value(); }
// comparison
OPM_HOST_DEVICE static bool isSame(const Evaluation& a, const Evaluation& b, Scalar tolerance)
{
typedef MathToolbox<ValueType> ValueTypeToolbox;
// make sure that the value of the evaluation is identical
if (!ValueTypeToolbox::isSame(a.value(), b.value(), tolerance))
return false;
// make sure that the derivatives are identical
for (int curVarIdx = 0; curVarIdx < numVars; ++curVarIdx)
if (!ValueTypeToolbox::isSame(a.derivative(curVarIdx), b.derivative(curVarIdx), tolerance))
return false;
return true;
}
// arithmetic functions
template <class Arg1Eval, class Arg2Eval>
OPM_HOST_DEVICE static Evaluation max(const Arg1Eval& arg1, const Arg2Eval& arg2)
{ return DenseAd::max(arg1, arg2); }
template <class Arg1Eval, class Arg2Eval>
OPM_HOST_DEVICE static Evaluation min(const Arg1Eval& arg1, const Arg2Eval& arg2)
{ return DenseAd::min(arg1, arg2); }
OPM_HOST_DEVICE static Evaluation abs(const Evaluation& arg)
{ return DenseAd::abs(arg); }
OPM_HOST_DEVICE static Evaluation tan(const Evaluation& arg)
{ return DenseAd::tan(arg); }
OPM_HOST_DEVICE static Evaluation atan(const Evaluation& arg)
{ return DenseAd::atan(arg); }
OPM_HOST_DEVICE static Evaluation atan2(const Evaluation& arg1, const Evaluation& arg2)
{ return DenseAd::atan2(arg1, arg2); }
template <class Eval2>
OPM_HOST_DEVICE static Evaluation atan2(const Evaluation& arg1, const Eval2& arg2)
{ return DenseAd::atan2(arg1, arg2); }
template <class Eval1>
OPM_HOST_DEVICE static Evaluation atan2(const Eval1& arg1, const Evaluation& arg2)
{ return DenseAd::atan2(arg1, arg2); }
OPM_HOST_DEVICE static Evaluation sin(const Evaluation& arg)
{ return DenseAd::sin(arg); }
OPM_HOST_DEVICE static Evaluation asin(const Evaluation& arg)
{ return DenseAd::asin(arg); }
OPM_HOST_DEVICE static Evaluation cos(const Evaluation& arg)
{ return DenseAd::cos(arg); }
OPM_HOST_DEVICE static Evaluation acos(const Evaluation& arg)
{ return DenseAd::acos(arg); }
OPM_HOST_DEVICE static Evaluation sqrt(const Evaluation& arg)
{ return DenseAd::sqrt(arg); }
OPM_HOST_DEVICE static Evaluation exp(const Evaluation& arg)
{ return DenseAd::exp(arg); }
OPM_HOST_DEVICE static Evaluation log(const Evaluation& arg)
{ return DenseAd::log(arg); }
OPM_HOST_DEVICE static Evaluation log10(const Evaluation& arg)
{ return DenseAd::log10(arg); }
template <class RhsValueType>
OPM_HOST_DEVICE static Evaluation pow(const Evaluation& arg1, const RhsValueType& arg2)
{ return DenseAd::pow(arg1, arg2); }
template <class RhsValueType>
OPM_HOST_DEVICE static Evaluation pow(const RhsValueType& arg1, const Evaluation& arg2)
{ return DenseAd::pow(arg1, arg2); }
OPM_HOST_DEVICE static Evaluation pow(const Evaluation& arg1, const Evaluation& arg2)
{ return DenseAd::pow(arg1, arg2); }
OPM_HOST_DEVICE static bool isfinite(const Evaluation& arg)
{
if (!InnerToolbox::isfinite(arg.value()))
return false;
for (int i = 0; i < numVars; ++i)
if (!InnerToolbox::isfinite(arg.derivative(i)))
return false;
return true;
}
OPM_HOST_DEVICE static bool isnan(const Evaluation& arg)
{
if (InnerToolbox::isnan(arg.value()))
return true;
for (int i = 0; i < numVars; ++i)
if (InnerToolbox::isnan(arg.derivative(i)))
return true;
return false;
}
};
}
#endif
Evaluation.hpp
Representation of an evaluation of a function and its derivatives w.r.t.
MathToolbox.hpp
A traits class which provides basic mathematical functions for arbitrary scalar floating point values...
Opm::DenseAd::Evaluation
Represents a function evaluation and its derivatives w.r.t.
Definition Evaluation.hpp:63
Opm
This class implements a small container which holds the transmissibility mulitpliers for all the face...
Definition Exceptions.hpp:30
Opm::MathToolbox
Definition MathToolbox.hpp:51
Opm::MathToolbox::sin
static OPM_HOST_DEVICE Scalar sin(Scalar arg)
The sine of a value.
Definition MathToolbox.hpp:222
Opm::MathToolbox::isnan
static OPM_HOST_DEVICE bool isnan(Scalar arg)
Return true iff the argument's value or any of its derivatives are NaN values.
Definition MathToolbox.hpp:278
Opm::MathToolbox::exp
static OPM_HOST_DEVICE Scalar exp(Scalar arg)
The natural exponentiation of a value.
Definition MathToolbox.hpp:258
Opm::MathToolbox< Scalar >::scalarValue
static OPM_HOST_DEVICE Scalar scalarValue(Scalar value)
Definition MathToolbox.hpp:93
Opm::MathToolbox< ValueType >::Scalar
ValueType Scalar
Definition MathToolbox.hpp:58
Opm::MathToolbox::createBlank
static OPM_HOST_DEVICE Scalar createBlank(Scalar)
Given a scalar value, return a "compatible" object.
Definition MathToolbox.hpp:102
Opm::MathToolbox::createConstant
static OPM_HOST_DEVICE Scalar createConstant(Scalar value)
Given a scalar value, return an evaluation of a constant function.
Definition MathToolbox.hpp:112
Opm::MathToolbox::sqrt
static OPM_HOST_DEVICE Scalar sqrt(Scalar arg)
The square root of a value.
Definition MathToolbox.hpp:254
Opm::MathToolbox::atan
static OPM_HOST_DEVICE Scalar atan(Scalar arg)
The arcus tangens of a value.
Definition MathToolbox.hpp:214
Opm::MathToolbox::value
static OPM_HOST_DEVICE Scalar value(Scalar value)
Return the value of the function at a given evaluation point.
Definition MathToolbox.hpp:84
Opm::MathToolbox::isfinite
static OPM_HOST_DEVICE bool isfinite(Scalar arg)
Return true iff the argument's value and all its derivatives are finite values.
Definition MathToolbox.hpp:274
Opm::MathToolbox::createVariable
static OPM_HOST_DEVICE Scalar createVariable(Scalar, unsigned)
Given a scalar value, return an evaluation of a linear function.
Definition MathToolbox.hpp:148
Opm::MathToolbox::decay
static OPM_HOST_DEVICE LhsEval decay(Scalar value)
Given a function evaluation, constrain it to its value (if necessary).
Definition MathToolbox.hpp:174
Opm::MathToolbox::min
static OPM_HOST_DEVICE Scalar min(Scalar arg1, Scalar arg2)
The minimum of two arguments.
Definition MathToolbox.hpp:202
Opm::MathToolbox::asin
static OPM_HOST_DEVICE Scalar asin(Scalar arg)
The arcus sine of a value.
Definition MathToolbox.hpp:226
Opm::MathToolbox::atan2
static OPM_HOST_DEVICE Scalar atan2(Scalar arg1, Scalar arg2)
The arcus tangens of a value.
Definition MathToolbox.hpp:218
Opm::MathToolbox::pow
static OPM_HOST_DEVICE Scalar pow(Scalar base, Scalar exp)
Exponentiation to an arbitrary base.
Definition MathToolbox.hpp:270
Opm::MathToolbox::cos
static OPM_HOST_DEVICE Scalar cos(Scalar arg)
The cosine of a value.
Definition MathToolbox.hpp:238
Opm::MathToolbox::log
static OPM_HOST_DEVICE Scalar log(Scalar arg)
The natural logarithm of a value.
Definition MathToolbox.hpp:266
Opm::MathToolbox::isSame
static OPM_HOST_DEVICE bool isSame(Scalar a, Scalar b, Scalar tolerance)
Returns true if two values are identical up to a specified tolerance.
Definition MathToolbox.hpp:185
Opm::MathToolbox::abs
static OPM_HOST_DEVICE Scalar abs(Scalar arg)
The absolute value.
Definition MathToolbox.hpp:206
Opm::MathToolbox::tan
static OPM_HOST_DEVICE Scalar tan(Scalar arg)
The tangens of a value.
Definition MathToolbox.hpp:210
Opm::MathToolbox::max
static OPM_HOST_DEVICE Scalar max(Scalar arg1, Scalar arg2)
The maximum of two arguments.
Definition MathToolbox.hpp:198
Opm::MathToolbox::acos
static OPM_HOST_DEVICE Scalar acos(Scalar arg)
The arcus cosine of a value.
Definition MathToolbox.hpp:242
Opm::MathToolbox::log10
static OPM_HOST_DEVICE Scalar log10(Scalar arg)
The 10 logarithm of a value.
Definition MathToolbox.hpp:262