source: pacpussensors/trunk/Vislab/lib3dv/eigen/unsupported/Eigen/NumericalDiff@ 136

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1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2009 Thomas Capricelli <orzel@freehackers.org>
5//
6// This Source Code Form is subject to the terms of the Mozilla
7// Public License v. 2.0. If a copy of the MPL was not distributed
8// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9
10#ifndef EIGEN_NUMERICALDIFF_MODULE
11#define EIGEN_NUMERICALDIFF_MODULE
12
13#include <Eigen/Core>
14
15namespace Eigen {
16
17/**
18 * \defgroup NumericalDiff_Module Numerical differentiation module
19 *
20 * \code
21 * #include <unsupported/Eigen/NumericalDiff>
22 * \endcode
23 *
24 * See http://en.wikipedia.org/wiki/Numerical_differentiation
25 *
26 * Warning : this should NOT be confused with automatic differentiation, which
27 * is a different method and has its own module in Eigen : \ref
28 * AutoDiff_Module.
29 *
30 * Currently only "Forward" and "Central" schemes are implemented. Those
31 * are basic methods, and there exist some more elaborated way of
32 * computing such approximates. They are implemented using both
33 * proprietary and free software, and usually requires linking to an
34 * external library. It is very easy for you to write a functor
35 * using such software, and the purpose is quite orthogonal to what we
36 * want to achieve with Eigen.
37 *
38 * This is why we will not provide wrappers for every great numerical
39 * differentiation software that exist, but should rather stick with those
40 * basic ones, that still are useful for testing.
41 *
42 * Also, the \ref NonLinearOptimization_Module needs this in order to
43 * provide full features compatibility with the original (c)minpack
44 * package.
45 *
46 */
47}
48
49//@{
50
51#include "src/NumericalDiff/NumericalDiff.h"
52
53//@}
54
55
56#endif // EIGEN_NUMERICALDIFF_MODULE
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