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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 Thomas Capricelli <orzel@freehackers.org>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_NUMERICALDIFF_MODULE
#define EIGEN_NUMERICALDIFF_MODULE
#include <Eigen/Core>
namespace Eigen {
/** \ingroup Unsupported_modules
* \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.
*
*/
}
//@{
#include "src/NumericalDiff/NumericalDiff.h"
//@}
#endif // EIGEN_NUMERICALDIFF_MODULE
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