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Diffstat (limited to 'extern/Eigen2/Eigen/src/Array/Norms.h')
-rw-r--r-- | extern/Eigen2/Eigen/src/Array/Norms.h | 80 |
1 files changed, 0 insertions, 80 deletions
diff --git a/extern/Eigen2/Eigen/src/Array/Norms.h b/extern/Eigen2/Eigen/src/Array/Norms.h deleted file mode 100644 index 6b92e6a099d..00000000000 --- a/extern/Eigen2/Eigen/src/Array/Norms.h +++ /dev/null @@ -1,80 +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 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_ARRAY_NORMS_H -#define EIGEN_ARRAY_NORMS_H - -template<typename Derived, int p> -struct ei_lpNorm_selector -{ - typedef typename NumTraits<typename ei_traits<Derived>::Scalar>::Real RealScalar; - inline static RealScalar run(const MatrixBase<Derived>& m) - { - return ei_pow(m.cwise().abs().cwise().pow(p).sum(), RealScalar(1)/p); - } -}; - -template<typename Derived> -struct ei_lpNorm_selector<Derived, 1> -{ - inline static typename NumTraits<typename ei_traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m) - { - return m.cwise().abs().sum(); - } -}; - -template<typename Derived> -struct ei_lpNorm_selector<Derived, 2> -{ - inline static typename NumTraits<typename ei_traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m) - { - return m.norm(); - } -}; - -template<typename Derived> -struct ei_lpNorm_selector<Derived, Infinity> -{ - inline static typename NumTraits<typename ei_traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m) - { - return m.cwise().abs().maxCoeff(); - } -}; - -/** \array_module - * - * \returns the \f$ \ell^p \f$ norm of *this, that is, returns the p-th root of the sum of the p-th powers of the absolute values - * of the coefficients of *this. If \a p is the special value \a Eigen::Infinity, this function returns the \f$ \ell^p\infty \f$ - * norm, that is the maximum of the absolute values of the coefficients of *this. - * - * \sa norm() - */ -template<typename Derived> -template<int p> -inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real MatrixBase<Derived>::lpNorm() const -{ - return ei_lpNorm_selector<Derived, p>::run(*this); -} - -#endif // EIGEN_ARRAY_NORMS_H |