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few doc fixes
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@ -28,13 +28,13 @@ namespace Eigen {
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/** \ingroup Unsupported_modules
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* \ref MatrixFunctions_Module */
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/** \ingroup Unsupported_modules
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* \ref MoreVectorization */
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/** \ingroup Unsupported_modules
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* \ref NonLinearOptimization_Module */
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/** \ingroup Unsupported_modules
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* \ref NumericalDiff_Module */
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/** \ingroup Unsupported_modules
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* \ref MoreVectorization */
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} // namespace Eigen
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@ -22,8 +22,8 @@
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_NONLINEAR_MODULE_H
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#define EIGEN_NONLINEAR_MODULE_H
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#ifndef EIGEN_NONLINEAROPTIMIZATION_MODULE
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#define EIGEN_NONLINEAROPTIMIZATION_MODULE
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#include <Eigen/Core>
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#include <unsupported/Eigen/NumericalDiff>
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@ -150,4 +150,4 @@ namespace Eigen {
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#endif // EIGEN_NONLINEAR_MODULE_H
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#endif // EIGEN_NONLINEAROPTIMIZATION_MODULE
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@ -31,13 +31,18 @@ namespace Eigen {
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/** \ingroup Unsupported_modules
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* \defgroup NumericalDiff_Module Numerical differenciation module
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*
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* \code
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* #include <unsupported/Eigen/NumericalDiff>
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* \endcode
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*
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* See http://en.wikipedia.org/wiki/Numerical_differentiation
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*
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* Warning : this should NOT be confused with automatic differentiation, which
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* is a different method and has its own module in Eigen : \ref
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* AutoDiff_Module.
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*
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* Currently only "Forward" and "Central" scheme are implemented. Those
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* Currently only "Forward" and "Central" schemes are implemented. Those
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* are basic methods, and there exist some more elaborated way of
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* computing such approximates. They are implemented using both
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* proprietary and free software, and usually requires linking to an
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@ -53,9 +58,6 @@ namespace Eigen {
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* provide full features compatibility with the original (c)minpack
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* package.
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*
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* \code
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* #include <unsupported/Eigen/NumericalDiff>
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* \endcode
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*/
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//@{
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