// 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 // Copyright (C) 2006-2008 Benoit Jacob // // 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 . #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 struct ei_traits > { typedef typename ei_result_of< UnaryOp(typename MatrixType::Scalar) >::type Scalar; typedef typename MatrixType::Nested MatrixTypeNested; typedef typename ei_unref::type _MatrixTypeNested; enum { MatrixTypeCoeffReadCost = _MatrixTypeNested::CoeffReadCost, MatrixTypeFlags = _MatrixTypeNested::Flags, RowsAtCompileTime = MatrixType::RowsAtCompileTime, ColsAtCompileTime = MatrixType::ColsAtCompileTime, MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime, MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime, Flags = (MatrixTypeFlags & ( HereditaryBits | LinearAccessBit | AlignedBit | (ei_functor_traits::PacketAccess ? PacketAccessBit : 0))), CoeffReadCost = MatrixTypeCoeffReadCost + ei_functor_traits::Cost }; }; template class CwiseUnaryOp : ei_no_assignment_operator, public MatrixBase > { public: EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseUnaryOp) class InnerIterator; inline CwiseUnaryOp(const MatrixType& mat, const UnaryOp& func = UnaryOp()) : m_matrix(mat), m_functor(func) {} inline int rows() const { return m_matrix.rows(); } inline int cols() const { return m_matrix.cols(); } inline const Scalar coeff(int row, int col) const { return m_functor(m_matrix.coeff(row, col)); } template inline PacketScalar packet(int row, int col) const { return m_functor.packetOp(m_matrix.template packet(row, col)); } inline const Scalar coeff(int index) const { return m_functor(m_matrix.coeff(index)); } template inline PacketScalar packet(int index) const { return m_functor.packetOp(m_matrix.template packet(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 template inline const CwiseUnaryOp MatrixBase::unaryExpr(const CustomUnaryOp& func) const { return CwiseUnaryOp(derived(), func); } /** \returns an expression of the opposite of \c *this */ template inline const CwiseUnaryOp::Scalar>,Derived> MatrixBase::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 inline const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_abs_op) Cwise::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 inline const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_abs2_op) Cwise::abs2() const { return _expression(); } /** \returns an expression of the complex conjugate of \c *this. * * \sa adjoint() */ template inline typename MatrixBase::ConjugateReturnType MatrixBase::conjugate() const { return ConjugateReturnType(derived()); } /** \returns an expression of the real part of \c *this. * * \sa adjoint() */ template inline const typename MatrixBase::RealReturnType MatrixBase::real() 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 template inline const CwiseUnaryOp::Scalar, NewType>, Derived> MatrixBase::cast() const { return derived(); } /** \relates MatrixBase */ template inline const typename MatrixBase::ScalarMultipleReturnType MatrixBase::operator*(const Scalar& scalar) const { return CwiseUnaryOp, Derived> (derived(), ei_scalar_multiple_op(scalar)); } /** \relates MatrixBase */ template inline const CwiseUnaryOp::Scalar>, Derived> MatrixBase::operator/(const Scalar& scalar) const { return CwiseUnaryOp, Derived> (derived(), ei_scalar_quotient1_op(scalar)); } template inline Derived& MatrixBase::operator*=(const Scalar& other) { return *this = *this * other; } template inline Derived& MatrixBase::operator/=(const Scalar& other) { return *this = *this / other; } #endif // EIGEN_CWISE_UNARY_OP_H