A class for numeric differentiation with respect to a scalar parameter.
#include <dumux/common/numericdifferentiation.hh>
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| template<class Scalar > |
| static Scalar | epsilon (const Scalar value, const Scalar baseEps=1e-10) |
| | Computes the epsilon used for numeric differentiation. More...
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| template<class Function , class Scalar , class FunctionEvalType > |
| static void | partialDerivative (const Function &function, Scalar x0, FunctionEvalType &derivative, const FunctionEvalType &fx0, const int numericDifferenceMethod=1) |
| | Computes the derivative of a function with respect to a function parameter. More...
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| template<class Function , class Scalar , class FunctionEvalType > |
| static void | partialDerivative (const Function &function, Scalar x0, FunctionEvalType &derivative, const FunctionEvalType &fx0, const Scalar eps, const int numericDifferenceMethod=1) |
| | Computes the derivative of a function with respect to a function parameter. More...
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◆ epsilon()
template<class Scalar >
| static Scalar Dumux::NumericDifferentiation::epsilon |
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const Scalar |
value, |
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const Scalar |
baseEps = 1e-10 |
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) |
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inlinestatic |
- Parameters
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| value | The value of the variable with respect to which we are differentiating |
| baseEps | The step width which we are using for differentiation |
◆ partialDerivative() [1/2]
template<class Function , class Scalar , class FunctionEvalType >
| static void Dumux::NumericDifferentiation::partialDerivative |
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const Function & |
function, |
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Scalar |
x0, |
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FunctionEvalType & |
derivative, |
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const FunctionEvalType & |
fx0, |
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const int |
numericDifferenceMethod = 1 |
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) |
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inlinestatic |
- Note
- Overload using default epsilon computation
◆ partialDerivative() [2/2]
template<class Function , class Scalar , class FunctionEvalType >
| static void Dumux::NumericDifferentiation::partialDerivative |
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const Function & |
function, |
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Scalar |
x0, |
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FunctionEvalType & |
derivative, |
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const FunctionEvalType & |
fx0, |
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const Scalar |
eps, |
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const int |
numericDifferenceMethod = 1 |
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) |
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inlinestatic |
- Parameters
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| function | The function to derive |
| x0 | The parameter at which the derivative is ought to be evaluated |
| derivative | The partial derivative (output) |
| fx0 | The result of the function evaluated at x0 |
| eps | The numeric epsilon used in the differentiation |
| numericDifferenceMethod | The numeric difference method (1: forward differences (default), 0: central differences, -1: backward differences) |
The documentation for this class was generated from the following file:
1.9.3