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Diffstat (limited to 'extern/Eigen2/Eigen/src/Core/Redux.h')
| -rw-r--r-- | extern/Eigen2/Eigen/src/Core/Redux.h | 117 |
1 files changed, 0 insertions, 117 deletions
diff --git a/extern/Eigen2/Eigen/src/Core/Redux.h b/extern/Eigen2/Eigen/src/Core/Redux.h deleted file mode 100644 index 734ef1929a4..00000000000 --- a/extern/Eigen2/Eigen/src/Core/Redux.h +++ /dev/null @@ -1,117 +0,0 @@ -// This file is part of Eigen, a lightweight C++ template library -// for linear algebra. Eigen itself is part of the KDE project. -// -// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr> -// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com> -// -// 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_REDUX_H -#define EIGEN_REDUX_H - -template<typename BinaryOp, typename Derived, int Start, int Length> -struct ei_redux_impl -{ - enum { - HalfLength = Length/2 - }; - - typedef typename ei_result_of<BinaryOp(typename Derived::Scalar)>::type Scalar; - - static Scalar run(const Derived &mat, const BinaryOp& func) - { - return func( - ei_redux_impl<BinaryOp, Derived, Start, HalfLength>::run(mat, func), - ei_redux_impl<BinaryOp, Derived, Start+HalfLength, Length - HalfLength>::run(mat, func)); - } -}; - -template<typename BinaryOp, typename Derived, int Start> -struct ei_redux_impl<BinaryOp, Derived, Start, 1> -{ - enum { - col = Start / Derived::RowsAtCompileTime, - row = Start % Derived::RowsAtCompileTime - }; - - typedef typename ei_result_of<BinaryOp(typename Derived::Scalar)>::type Scalar; - - static Scalar run(const Derived &mat, const BinaryOp &) - { - return mat.coeff(row, col); - } -}; - -template<typename BinaryOp, typename Derived, int Start> -struct ei_redux_impl<BinaryOp, Derived, Start, Dynamic> -{ - typedef typename ei_result_of<BinaryOp(typename Derived::Scalar)>::type Scalar; - static Scalar run(const Derived& mat, const BinaryOp& func) - { - ei_assert(mat.rows()>0 && mat.cols()>0 && "you are using a non initialized matrix"); - Scalar res; - res = mat.coeff(0,0); - for(int i = 1; i < mat.rows(); ++i) - res = func(res, mat.coeff(i, 0)); - for(int j = 1; j < mat.cols(); ++j) - for(int i = 0; i < mat.rows(); ++i) - res = func(res, mat.coeff(i, j)); - return res; - } -}; - -/** \returns the result of a full redux operation on the whole matrix or vector using \a func - * - * The template parameter \a BinaryOp is the type of the functor \a func which must be - * an assiociative operator. Both current STL and TR1 functor styles are handled. - * - * \sa MatrixBase::sum(), MatrixBase::minCoeff(), MatrixBase::maxCoeff(), MatrixBase::colwise(), MatrixBase::rowwise() - */ -template<typename Derived> -template<typename BinaryOp> -typename ei_result_of<BinaryOp(typename ei_traits<Derived>::Scalar)>::type -MatrixBase<Derived>::redux(const BinaryOp& func) const -{ - const bool unroll = SizeAtCompileTime * CoeffReadCost - + (SizeAtCompileTime-1) * ei_functor_traits<BinaryOp>::Cost - <= EIGEN_UNROLLING_LIMIT; - return ei_redux_impl<BinaryOp, Derived, 0, unroll ? int(SizeAtCompileTime) : Dynamic> - ::run(derived(), func); -} - -/** \returns the minimum of all coefficients of *this - */ -template<typename Derived> -inline typename ei_traits<Derived>::Scalar -MatrixBase<Derived>::minCoeff() const -{ - return this->redux(Eigen::ei_scalar_min_op<Scalar>()); -} - -/** \returns the maximum of all coefficients of *this - */ -template<typename Derived> -inline typename ei_traits<Derived>::Scalar -MatrixBase<Derived>::maxCoeff() const -{ - return this->redux(Eigen::ei_scalar_max_op<Scalar>()); -} - -#endif // EIGEN_REDUX_H |