| // 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_CWISE_UNARY_OP_H |
| #define EIGEN_CWISE_UNARY_OP_H |
| |
| /** \class CwiseUnaryOp |
| * |
| * \brief Generic expression of a coefficient-wise unary operator of a matrix or a vector |
| * |
| * \param UnaryOp template functor implementing the operator |
| * \param MatrixType the type of the matrix we are applying the unary operator |
| * |
| * This class represents an expression of a generic unary operator of a matrix or a vector. |
| * It is the return type of the unary operator-, of a matrix or a vector, and most |
| * of the time this is the only way it is used. |
| * |
| * \sa MatrixBase::unaryExpr(const CustomUnaryOp &) const, class CwiseBinaryOp, class CwiseNullaryOp |
| */ |
| template<typename UnaryOp, typename MatrixType> |
| struct ei_traits<CwiseUnaryOp<UnaryOp, MatrixType> > |
| : ei_traits<MatrixType> |
| { |
| typedef typename ei_result_of< |
| UnaryOp(typename MatrixType::Scalar) |
| >::type Scalar; |
| typedef typename MatrixType::Nested MatrixTypeNested; |
| typedef typename ei_unref<MatrixTypeNested>::type _MatrixTypeNested; |
| enum { |
| Flags = (_MatrixTypeNested::Flags & ( |
| HereditaryBits | LinearAccessBit | AlignedBit |
| | (ei_functor_traits<UnaryOp>::PacketAccess ? PacketAccessBit : 0))), |
| CoeffReadCost = _MatrixTypeNested::CoeffReadCost + ei_functor_traits<UnaryOp>::Cost |
| }; |
| }; |
| |
| template<typename UnaryOp, typename MatrixType> |
| class CwiseUnaryOp : ei_no_assignment_operator, |
| public MatrixBase<CwiseUnaryOp<UnaryOp, MatrixType> > |
| { |
| public: |
| |
| EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseUnaryOp) |
| |
| inline CwiseUnaryOp(const MatrixType& mat, const UnaryOp& func = UnaryOp()) |
| : m_matrix(mat), m_functor(func) {} |
| |
| EIGEN_STRONG_INLINE int rows() const { return m_matrix.rows(); } |
| EIGEN_STRONG_INLINE int cols() const { return m_matrix.cols(); } |
| |
| EIGEN_STRONG_INLINE const Scalar coeff(int row, int col) const |
| { |
| return m_functor(m_matrix.coeff(row, col)); |
| } |
| |
| template<int LoadMode> |
| EIGEN_STRONG_INLINE PacketScalar packet(int row, int col) const |
| { |
| return m_functor.packetOp(m_matrix.template packet<LoadMode>(row, col)); |
| } |
| |
| EIGEN_STRONG_INLINE const Scalar coeff(int index) const |
| { |
| return m_functor(m_matrix.coeff(index)); |
| } |
| |
| template<int LoadMode> |
| EIGEN_STRONG_INLINE PacketScalar packet(int index) const |
| { |
| return m_functor.packetOp(m_matrix.template packet<LoadMode>(index)); |
| } |
| |
| protected: |
| const typename MatrixType::Nested m_matrix; |
| const UnaryOp m_functor; |
| }; |
| |
| /** \returns an expression of a custom coefficient-wise unary operator \a func of *this |
| * |
| * The template parameter \a CustomUnaryOp is the type of the functor |
| * of the custom unary operator. |
| * |
| * \addexample CustomCwiseUnaryFunctors \label How to use custom coeff wise unary functors |
| * |
| * Example: |
| * \include class_CwiseUnaryOp.cpp |
| * Output: \verbinclude class_CwiseUnaryOp.out |
| * |
| * \sa class CwiseUnaryOp, class CwiseBinarOp, MatrixBase::operator-, Cwise::abs |
| */ |
| template<typename Derived> |
| template<typename CustomUnaryOp> |
| EIGEN_STRONG_INLINE const CwiseUnaryOp<CustomUnaryOp, Derived> |
| MatrixBase<Derived>::unaryExpr(const CustomUnaryOp& func) const |
| { |
| return CwiseUnaryOp<CustomUnaryOp, Derived>(derived(), func); |
| } |
| |
| /** \returns an expression of the opposite of \c *this |
| */ |
| template<typename Derived> |
| EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_opposite_op<typename ei_traits<Derived>::Scalar>,Derived> |
| MatrixBase<Derived>::operator-() const |
| { |
| return derived(); |
| } |
| |
| /** \returns an expression of the coefficient-wise absolute value of \c *this |
| * |
| * Example: \include Cwise_abs.cpp |
| * Output: \verbinclude Cwise_abs.out |
| * |
| * \sa abs2() |
| */ |
| template<typename ExpressionType> |
| EIGEN_STRONG_INLINE const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_abs_op) |
| Cwise<ExpressionType>::abs() const |
| { |
| return _expression(); |
| } |
| |
| /** \returns an expression of the coefficient-wise squared absolute value of \c *this |
| * |
| * Example: \include Cwise_abs2.cpp |
| * Output: \verbinclude Cwise_abs2.out |
| * |
| * \sa abs(), square() |
| */ |
| template<typename ExpressionType> |
| EIGEN_STRONG_INLINE const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_abs2_op) |
| Cwise<ExpressionType>::abs2() const |
| { |
| return _expression(); |
| } |
| |
| /** \returns an expression of the complex conjugate of \c *this. |
| * |
| * \sa adjoint() */ |
| template<typename Derived> |
| EIGEN_STRONG_INLINE typename MatrixBase<Derived>::ConjugateReturnType |
| MatrixBase<Derived>::conjugate() const |
| { |
| return ConjugateReturnType(derived()); |
| } |
| |
| /** \returns an expression of the real part of \c *this. |
| * |
| * \sa imag() */ |
| template<typename Derived> |
| EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::RealReturnType |
| MatrixBase<Derived>::real() const { return derived(); } |
| |
| /** \returns an expression of the imaginary part of \c *this. |
| * |
| * \sa real() */ |
| template<typename Derived> |
| EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ImagReturnType |
| MatrixBase<Derived>::imag() const { return derived(); } |
| |
| /** \returns an expression of *this with the \a Scalar type casted to |
| * \a NewScalar. |
| * |
| * The template parameter \a NewScalar is the type we are casting the scalars to. |
| * |
| * \sa class CwiseUnaryOp |
| */ |
| template<typename Derived> |
| template<typename NewType> |
| EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_cast_op<typename ei_traits<Derived>::Scalar, NewType>, Derived> |
| MatrixBase<Derived>::cast() const |
| { |
| return derived(); |
| } |
| |
| /** \relates MatrixBase */ |
| template<typename Derived> |
| EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ScalarMultipleReturnType |
| MatrixBase<Derived>::operator*(const Scalar& scalar) const |
| { |
| return CwiseUnaryOp<ei_scalar_multiple_op<Scalar>, Derived> |
| (derived(), ei_scalar_multiple_op<Scalar>(scalar)); |
| } |
| |
| /** \relates MatrixBase */ |
| template<typename Derived> |
| EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_quotient1_op<typename ei_traits<Derived>::Scalar>, Derived> |
| MatrixBase<Derived>::operator/(const Scalar& scalar) const |
| { |
| return CwiseUnaryOp<ei_scalar_quotient1_op<Scalar>, Derived> |
| (derived(), ei_scalar_quotient1_op<Scalar>(scalar)); |
| } |
| |
| template<typename Derived> |
| EIGEN_STRONG_INLINE Derived& |
| MatrixBase<Derived>::operator*=(const Scalar& other) |
| { |
| return *this = *this * other; |
| } |
| |
| template<typename Derived> |
| EIGEN_STRONG_INLINE Derived& |
| MatrixBase<Derived>::operator/=(const Scalar& other) |
| { |
| return *this = *this / other; |
| } |
| |
| #endif // EIGEN_CWISE_UNARY_OP_H |