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| | #ifndef EIGEN_NUMERICALDIFF_MODULE |
| | #define EIGEN_NUMERICALDIFF_MODULE |
| |
|
| | #include <Eigen/Core> |
| |
|
| | 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. |
| | * |
| | */ |
| | } |
| |
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| | |
| |
|
| | #include "src/NumericalDiff/NumericalDiff.h" |
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| | #endif |
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