Eigen::NumericalDiff< _Functor, mode > Class Template Reference

#include <unsupported/Eigen/src/NumericalDiff/NumericalDiff.h>

Detailed Description

template<typename _Functor, NumericalDiffMode mode = Forward>
class Eigen::NumericalDiff< _Functor, mode >

This class allows you to add a method df() to your functor, which will use numerical differentiation to compute an approximate of the derivative for the functor. Of course, if you have an analytical form for the derivative, you should rather implement df() by yourself.

More information on http://en.wikipedia.org/wiki/Numerical_differentiation

Currently only "Forward" and "Central" scheme are implemented.

Public Member Functions
int	df (const InputType &_x, JacobianType &jac) const

Member Function Documentation

df()

template<typename _Functor, NumericalDiffMode mode = Forward>

int Eigen::NumericalDiff< _Functor, mode >::df ( const InputType & _x, JacobianType & jac ) const

inline

return the number of evaluation of functor

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The documentation for this class was generated from the following file:

• /builds/libeigen/eigen/unsupported/Eigen/src/NumericalDiff/NumericalDiff.h