fuchsia / third_party / eigen / bc25605ec2d13f9bd386b3d697d23d896d4c3a7b / . / unsupported / Eigen / NumericalDiff

// This file is part of Eigen, a lightweight C++ template library | |

// for linear algebra. | |

// | |

// Copyright (C) 2009 Thomas Capricelli <orzel@freehackers.org> | |

// | |

// This Source Code Form is subject to the terms of the Mozilla | |

// Public License v. 2.0. If a copy of the MPL was not distributed | |

// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. | |

#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. | |

* | |

*/ | |

} | |

//@{ | |

#include "src/NumericalDiff/NumericalDiff.h" | |

//@} | |

#endif // EIGEN_NUMERICALDIFF_MODULE |