305 lines
12 KiB
C++
305 lines
12 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
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// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_CWISE_BINARY_OP_H
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#define EIGEN_CWISE_BINARY_OP_H
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/** \class CwiseBinaryOp
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*
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* \brief Generic expression of a coefficient-wise operator between two matrices or vectors
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*
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* \param BinaryOp template functor implementing the operator
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* \param Lhs the type of the left-hand side
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* \param Rhs the type of the right-hand side
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*
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* This class represents an expression of a generic binary operator of two matrices or vectors.
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* It is the return type of the operator+, operator-, and the Cwise methods, and most
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* of the time this is the only way it is used.
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*
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* However, if you want to write a function returning such an expression, you
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* will need to use this class.
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*
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* \sa MatrixBase::binaryExpr(const MatrixBase<OtherDerived> &,const CustomBinaryOp &) const, class CwiseUnaryOp, class CwiseNullaryOp
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*/
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template<typename BinaryOp, typename Lhs, typename Rhs>
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struct ei_traits<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
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{
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// even though we require Lhs and Rhs to have the same scalar type (see CwiseBinaryOp constructor),
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// we still want to handle the case when the result type is different.
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typedef typename ei_result_of<
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BinaryOp(
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typename Lhs::Scalar,
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typename Rhs::Scalar
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)
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>::type Scalar;
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typedef typename Lhs::Nested LhsNested;
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typedef typename Rhs::Nested RhsNested;
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typedef typename ei_unref<LhsNested>::type _LhsNested;
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typedef typename ei_unref<RhsNested>::type _RhsNested;
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enum {
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LhsCoeffReadCost = _LhsNested::CoeffReadCost,
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RhsCoeffReadCost = _RhsNested::CoeffReadCost,
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LhsFlags = _LhsNested::Flags,
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RhsFlags = _RhsNested::Flags,
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RowsAtCompileTime = Lhs::RowsAtCompileTime,
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ColsAtCompileTime = Lhs::ColsAtCompileTime,
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MaxRowsAtCompileTime = Lhs::MaxRowsAtCompileTime,
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MaxColsAtCompileTime = Lhs::MaxColsAtCompileTime,
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Flags = (int(LhsFlags) | int(RhsFlags)) & (
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HereditaryBits
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| (int(LhsFlags) & int(RhsFlags) & (LinearAccessBit | AlignedBit))
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| (ei_functor_traits<BinaryOp>::PacketAccess && ((int(LhsFlags) & RowMajorBit)==(int(RhsFlags) & RowMajorBit))
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? (int(LhsFlags) & int(RhsFlags) & PacketAccessBit) : 0)),
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CoeffReadCost = LhsCoeffReadCost + RhsCoeffReadCost + ei_functor_traits<BinaryOp>::Cost
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};
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};
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template<typename BinaryOp, typename Lhs, typename Rhs>
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class CwiseBinaryOp : ei_no_assignment_operator,
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public MatrixBase<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
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{
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public:
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EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseBinaryOp)
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typedef typename ei_traits<CwiseBinaryOp>::LhsNested LhsNested;
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typedef typename ei_traits<CwiseBinaryOp>::RhsNested RhsNested;
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EIGEN_STRONG_INLINE CwiseBinaryOp(const Lhs& lhs, const Rhs& rhs, const BinaryOp& func = BinaryOp())
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: m_lhs(lhs), m_rhs(rhs), m_functor(func)
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{
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// we require Lhs and Rhs to have the same scalar type. Currently there is no example of a binary functor
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// that would take two operands of different types. If there were such an example, then this check should be
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// moved to the BinaryOp functors, on a per-case basis. This would however require a change in the BinaryOp functors, as
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// currently they take only one typename Scalar template parameter.
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// It is tempting to always allow mixing different types but remember that this is often impossible in the vectorized paths.
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// So allowing mixing different types gives very unexpected errors when enabling vectorization, when the user tries to
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// add together a float matrix and a double matrix.
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EIGEN_STATIC_ASSERT((ei_functor_allows_mixing_real_and_complex<BinaryOp>::ret
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? int(ei_is_same_type<typename Lhs::RealScalar, typename Rhs::RealScalar>::ret)
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: int(ei_is_same_type<typename Lhs::Scalar, typename Rhs::Scalar>::ret)),
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YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
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// require the sizes to match
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EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
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ei_assert(lhs.rows() == rhs.rows() && lhs.cols() == rhs.cols());
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}
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EIGEN_STRONG_INLINE int rows() const { return m_lhs.rows(); }
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EIGEN_STRONG_INLINE int cols() const { return m_lhs.cols(); }
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EIGEN_STRONG_INLINE const Scalar coeff(int row, int col) const
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{
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return m_functor(m_lhs.coeff(row, col), m_rhs.coeff(row, col));
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}
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template<int LoadMode>
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EIGEN_STRONG_INLINE PacketScalar packet(int row, int col) const
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{
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return m_functor.packetOp(m_lhs.template packet<LoadMode>(row, col), m_rhs.template packet<LoadMode>(row, col));
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}
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EIGEN_STRONG_INLINE const Scalar coeff(int index) const
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{
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return m_functor(m_lhs.coeff(index), m_rhs.coeff(index));
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}
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template<int LoadMode>
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EIGEN_STRONG_INLINE PacketScalar packet(int index) const
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{
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return m_functor.packetOp(m_lhs.template packet<LoadMode>(index), m_rhs.template packet<LoadMode>(index));
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}
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protected:
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const LhsNested m_lhs;
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const RhsNested m_rhs;
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const BinaryOp m_functor;
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};
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/**\returns an expression of the difference of \c *this and \a other
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*
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* \note If you want to substract a given scalar from all coefficients, see Cwise::operator-().
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*
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* \sa class CwiseBinaryOp, MatrixBase::operator-=(), Cwise::operator-()
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*/
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template<typename Derived>
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template<typename OtherDerived>
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EIGEN_STRONG_INLINE const CwiseBinaryOp<ei_scalar_difference_op<typename ei_traits<Derived>::Scalar>,
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Derived, OtherDerived>
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MatrixBase<Derived>::operator-(const MatrixBase<OtherDerived> &other) const
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{
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return CwiseBinaryOp<ei_scalar_difference_op<Scalar>,
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Derived, OtherDerived>(derived(), other.derived());
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}
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/** replaces \c *this by \c *this - \a other.
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*
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* \returns a reference to \c *this
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*/
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template<typename Derived>
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template<typename OtherDerived>
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EIGEN_STRONG_INLINE Derived &
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MatrixBase<Derived>::operator-=(const MatrixBase<OtherDerived> &other)
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{
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return *this = *this - other;
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}
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/** \relates MatrixBase
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*
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* \returns an expression of the sum of \c *this and \a other
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*
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* \note If you want to add a given scalar to all coefficients, see Cwise::operator+().
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*
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* \sa class CwiseBinaryOp, MatrixBase::operator+=(), Cwise::operator+()
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*/
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template<typename Derived>
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template<typename OtherDerived>
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EIGEN_STRONG_INLINE const CwiseBinaryOp<ei_scalar_sum_op<typename ei_traits<Derived>::Scalar>, Derived, OtherDerived>
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MatrixBase<Derived>::operator+(const MatrixBase<OtherDerived> &other) const
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{
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return CwiseBinaryOp<ei_scalar_sum_op<Scalar>, Derived, OtherDerived>(derived(), other.derived());
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}
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/** replaces \c *this by \c *this + \a other.
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*
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* \returns a reference to \c *this
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*/
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template<typename Derived>
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template<typename OtherDerived>
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EIGEN_STRONG_INLINE Derived &
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MatrixBase<Derived>::operator+=(const MatrixBase<OtherDerived>& other)
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{
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return *this = *this + other;
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}
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/** \returns an expression of the Schur product (coefficient wise product) of *this and \a other
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*
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* Example: \include Cwise_product.cpp
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* Output: \verbinclude Cwise_product.out
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*
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* \sa class CwiseBinaryOp, operator/(), square()
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*/
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template<typename ExpressionType>
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template<typename OtherDerived>
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EIGEN_STRONG_INLINE const EIGEN_CWISE_PRODUCT_RETURN_TYPE
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Cwise<ExpressionType>::operator*(const MatrixBase<OtherDerived> &other) const
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{
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return EIGEN_CWISE_PRODUCT_RETURN_TYPE(_expression(), other.derived());
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}
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/** \returns an expression of the coefficient-wise quotient of *this and \a other
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*
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* Example: \include Cwise_quotient.cpp
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* Output: \verbinclude Cwise_quotient.out
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*
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* \sa class CwiseBinaryOp, operator*(), inverse()
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*/
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template<typename ExpressionType>
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template<typename OtherDerived>
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EIGEN_STRONG_INLINE const EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_quotient_op)
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Cwise<ExpressionType>::operator/(const MatrixBase<OtherDerived> &other) const
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{
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return EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_quotient_op)(_expression(), other.derived());
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}
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/** Replaces this expression by its coefficient-wise product with \a other.
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*
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* Example: \include Cwise_times_equal.cpp
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* Output: \verbinclude Cwise_times_equal.out
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*
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* \sa operator*(), operator/=()
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*/
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template<typename ExpressionType>
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template<typename OtherDerived>
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inline ExpressionType& Cwise<ExpressionType>::operator*=(const MatrixBase<OtherDerived> &other)
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{
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return m_matrix.const_cast_derived() = *this * other;
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}
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/** Replaces this expression by its coefficient-wise quotient by \a other.
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*
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* Example: \include Cwise_slash_equal.cpp
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* Output: \verbinclude Cwise_slash_equal.out
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*
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* \sa operator/(), operator*=()
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*/
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template<typename ExpressionType>
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template<typename OtherDerived>
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inline ExpressionType& Cwise<ExpressionType>::operator/=(const MatrixBase<OtherDerived> &other)
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{
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return m_matrix.const_cast_derived() = *this / other;
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}
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/** \returns an expression of the coefficient-wise min of *this and \a other
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*
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* Example: \include Cwise_min.cpp
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* Output: \verbinclude Cwise_min.out
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*
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* \sa class CwiseBinaryOp
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*/
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template<typename ExpressionType>
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template<typename OtherDerived>
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EIGEN_STRONG_INLINE const EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_min_op)
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Cwise<ExpressionType>::min(const MatrixBase<OtherDerived> &other) const
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{
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return EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_min_op)(_expression(), other.derived());
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}
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/** \returns an expression of the coefficient-wise max of *this and \a other
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*
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* Example: \include Cwise_max.cpp
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* Output: \verbinclude Cwise_max.out
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*
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* \sa class CwiseBinaryOp
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*/
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template<typename ExpressionType>
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template<typename OtherDerived>
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EIGEN_STRONG_INLINE const EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_max_op)
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Cwise<ExpressionType>::max(const MatrixBase<OtherDerived> &other) const
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{
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return EIGEN_CWISE_BINOP_RETURN_TYPE(ei_scalar_max_op)(_expression(), other.derived());
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}
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/** \returns an expression of a custom coefficient-wise operator \a func of *this and \a other
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*
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* The template parameter \a CustomBinaryOp is the type of the functor
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* of the custom operator (see class CwiseBinaryOp for an example)
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*
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* \addexample CustomCwiseBinaryFunctors \label How to use custom coeff wise binary functors
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*
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* Here is an example illustrating the use of custom functors:
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* \include class_CwiseBinaryOp.cpp
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* Output: \verbinclude class_CwiseBinaryOp.out
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*
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* \sa class CwiseBinaryOp, MatrixBase::operator+, MatrixBase::operator-, Cwise::operator*, Cwise::operator/
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*/
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template<typename Derived>
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template<typename CustomBinaryOp, typename OtherDerived>
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EIGEN_STRONG_INLINE const CwiseBinaryOp<CustomBinaryOp, Derived, OtherDerived>
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MatrixBase<Derived>::binaryExpr(const MatrixBase<OtherDerived> &other, const CustomBinaryOp& func) const
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{
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return CwiseBinaryOp<CustomBinaryOp, Derived, OtherDerived>(derived(), other.derived(), func);
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}
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#endif // EIGEN_CWISE_BINARY_OP_H
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