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Tobias Wood
2023-11-29 11:12:48 +00:00
parent 9ea520fc45
commit f38e16c193
534 changed files with 103368 additions and 116934 deletions
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61
unsupported/Eigen/NumericalDiff
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@@ -15,35 +15,35 @@
namespace Eigen {
/**
* \defgroup NumericalDiff_Module Numerical differentiation module
*
* \code
* #include <unsupported/Eigen/NumericalDiff>
* \endcode
*
* See http://en.wikipedia.org/wiki/Numerical_differentiation
*
* Warning : this should NOT be confused with automatic differentiation, which
* is a different method and has its own module in Eigen : \ref
* AutoDiff_Module.
*
* Currently only "Forward" and "Central" schemes are implemented. Those
* are basic methods, and there exist some more elaborated way of
* computing such approximates. They are implemented using both
* proprietary and free software, and usually requires linking to an
* external library. It is very easy for you to write a functor
* using such software, and the purpose is quite orthogonal to what we
* want to achieve with Eigen.
*
* This is why we will not provide wrappers for every great numerical
* differentiation software that exist, but should rather stick with those
* basic ones, that still are useful for testing.
*
* Also, the \ref NonLinearOptimization_Module needs this in order to
* provide full features compatibility with the original (c)minpack
* package.
*
*/
* \defgroup NumericalDiff_Module Numerical differentiation module
*
* \code
* #include <unsupported/Eigen/NumericalDiff>
* \endcode
*
* See http://en.wikipedia.org/wiki/Numerical_differentiation
*
* Warning : this should NOT be confused with automatic differentiation, which
* is a different method and has its own module in Eigen : \ref
* AutoDiff_Module.
*
* Currently only "Forward" and "Central" schemes are implemented. Those
* are basic methods, and there exist some more elaborated way of
* computing such approximates. They are implemented using both
* proprietary and free software, and usually requires linking to an
* external library. It is very easy for you to write a functor
* using such software, and the purpose is quite orthogonal to what we
* want to achieve with Eigen.
*
* This is why we will not provide wrappers for every great numerical
* differentiation software that exist, but should rather stick with those
* basic ones, that still are useful for testing.
*
* Also, the \ref NonLinearOptimization_Module needs this in order to
* provide full features compatibility with the original (c)minpack
* package.
*
*/
}
//@{
@@ -54,5 +54,4 @@ namespace Eigen {
//@}
#endif // EIGEN_NUMERICALDIFF_MODULE_H
#endif // EIGEN_NUMERICALDIFF_MODULE_H